# templates

name: AI-Powered Proposal Automation Using Google Slides
author_name: David Olusola
author_username: dae221
categories: []
created_at: 2025-06-21T00:57:33.573Z
updated_at: 2025-06-21T00:57:33.573Z
url: https://n8n.io/workflows/5082
scraped_at: 2025-12-24 13:02:42
description:
  When you fill out the form with business challenges and requirements
  GPT-4 analyzes the input and generates a customized proposal using your template
  System automatically creates a Google Slides presentation with personalized content
  Professional proposal email is sent directly to the prospect with the presentation link

  Set up steps
  Estimated time: 15-20 minutes

  Connect your OpenAI API key for GPT-4 access
  Link your Google account for Slides and Gmail integration
  Create your proposal template in Google Slides with placeholder variables
  Customize the AI prompt and email template with your branding
  Test with sample data and activate the workflow

nodes_used:
  ["n8n-nodes-base.googleSlides","@n8n/n8n-nodes-langchain.openAi","n8n-nodes-base.googleDrive","n8n-nodes-base.gmail","n8n-nodes-base.formTrigger","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
  [encoded data, 4996 characters]


name: Medical Records Automation with Mistral OCR & Google Sheets
author_name: David Olusola
author_username: dae221
categories: []
created_at: 2025-06-21T01:29:08.272Z
updated_at: 2025-06-21T01:29:08.272Z
url: https://n8n.io/workflows/5083
scraped_at: 2025-12-24 13:02:45
description:
  This plug-and-play n8n workflow automates medical record digitization using Mistral’s OCR API and stores clean, structured data in Google Sheets. Whether you run a clinic or healthtech product, this no-code solution simplifies data entry from scanned or uploaded medical documents.

  📌 Works seamlessly on both self-hosted and cloud-based n8n environments.
  👥 Who is this for?
  Hospitals and private clinics
  Healthtech platforms & startups
  Medical admin and document processing teams
  Clinical researchers and labs
  😓 What problem does it solve?
  ❌ Manual entry from printed forms
  ❌ Unstructured, scattered records
  ❌ Errors in data transcription
  ❌ Inconsistent document storage
  ✅ This automation brings consistency, structure, and speed to the way you handle medical documents.

  ✅ What this workflow does
  Captures uploaded documents through a public form
  Uploads file to Mistral for OCR processing
  Extracts clean text from each page (PDF or image)
  Parses patient fields (Name, DOB, Diagnosis, Medications, etc.)
  Saves records into a structured Google Sheet
  🛠️ Setup Instructions
  Step 1: Google Sheet Prep

  Create a Google Sheet with these columns (case-sensitive):

  Name, Date of Birth, Patient ID, Date of Visit, Referring Physician, 
  Department, Symptoms, Blood Pressure, Heart Rate, Temperature, 
  Lab Results, Diagnosis, Medications, Next Appointment, Notes
  Step 2: Mistral API Access

  Sign up at Mistral AI
  Get your API key
  Ensure your plan supports file upload & OCR endpoints
  Step 3: Google OAuth Credentials (Self-hosted or Cloud)

  Go to n8n → Settings → Credentials, and add:

  Google Sheets OAuth2
  Scopes needed:
  https://www.googleapis.com/auth/spreadsheets
  Step 4: Import Workflow

  Go to Workflows &gt; Import from File
  Upload your JSON file
  Replace:
  Google Sheet document ID in the "Google Sheets" node
  Your Mistral API key in HTTP Header Auth
  Step 5: (Optional) Make Form Public

  In Cloud-based n8n:

  You can expose the form as a public page
  Otherwise, connect it to your website form via webhook
  🧩 Customization Tips
  Extract More Fields

  Update the "Data cleaning" node and extend the list of fields:

  const fields = ["Name", "Diagnosis", "Medications", "Symptoms", ...];
  Add EHR or Database Integration

  After Google Sheets, chain your custom system:

  PostgreSQL
  Airtable
  Supabase
  MongoDB
  Change Output Format

  Want JSON or Markdown output for internal tools?
  Use the Set or Code node before the final output step.

  🧪 Troubleshooting
  Issue	Fix
  File upload fails	Check Mistral API key and file type
  Google Sheets not updating	Verify credentials and document ID
  No data parsed	Check OCR quality; verify field labels in document
  Workflow not triggering	Ensure webhook or form is configured correctly
  🌐 Self-Hosted vs Cloud Comparison
  Feature	Self-Hosted	n8n Cloud
  Public Form Access	Manual setup	Built-in
  OAuth App Config	Required	Pre-configured
  Storage Limits	Depends on server	Included with plan
  Scalability	Fully customizable	Scales automatically
  📣 Getting Support
  n8n Docs
  Mistral API Docs
  n8n Community
  Or reach out to: David Olusola (dimejicole21@gmail.com)
  🌟 Like this template?
  Give it a star in the template library and help other no-code builders discover it.

  "Turn scanned documents into structured data with zero code."

nodes_used:
  ["n8n-nodes-base.formTrigger","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.googleSheets","n8n-nodes-base.code","n8n-nodes-base.stickyNote"]

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  [encoded data, 5164 characters]


name: AI Podcast Generator with RSS Feed & ElevenLabs Voice
author_name: David Olusola
author_username: dae221
categories: []
created_at: 2025-06-21T02:34:28.467Z
updated_at: 2025-06-21T02:34:28.467Z
url: https://n8n.io/workflows/5084
scraped_at: 2025-12-24 13:02:44
description:
  🧠 Overview
  This n8n automation turns any RSS feed into a spoken podcast episode, using OpenAI for summarization and ElevenLabs for voice generation. The final audio is then sent straight to your Telegram for instant publishing or listening.

  📌 Works with both self-hosted and cloud-based n8n instances. No-code podcasting made simple.
  👥 Who is this for?
  Podcasters & creators who want to automate content
  News curators or newsletter writers
  Agencies turning articles into daily voice updates
  Anyone who wants to voice AI-generated summaries and distribute via Telegram
  🚀 What this workflow automates
  📡 Pulls the latest article from your chosen RSS feed
  🧠 Uses OpenAI to summarize or rewrite the article
  🗣️ Generates a natural-sounding podcast using ElevenLabs
  📲 Sends the audio file to your Telegram inbox
  🧰 What You’ll Need
  🔗 RSS feed link (any source of fresh content)
  🔑 ElevenLabs API key (for voice generation)
  🧠 OpenAI API key (for summarization or rewriting)
  💬 Telegram Bot Token & your personal Chat ID (to receive the audio)
  🛠️ Setup Instructions
  Step 1: Get Your Chat ID & Telegram Bot Token

  Open Telegram
  Search for @BotFather
  Create a new bot → Copy the token
  Search for @userinfobot → Copy your chat ID
  Save both for use in the Telegram node
  Step 2: Create/Open an ElevenLabs Account

  Go to https://www.elevenlabs.io
  Copy your API key from the dashboard
  Choose your voice (the voice ID will be used in the workflow)
  Ensure your plan supports audio generation (free tier includes monthly usage)
  Step 3: Generate an OpenAI API Key

  Log in to https://platform.openai.com
  Generate your API key
  Use GPT-4 or GPT-3.5 for best results
  Step 4: Configure Credentials in n8n

  In n8n → Settings → Credentials, set up:

  OpenAI API → Add your key
  HTTP Header Auth → For ElevenLabs
  Telegram Bot → Add your token
  Step 5: Import and Configure the Workflow

  Go to n8n → Workflows → Import
  Upload your .json file
  In the RSS node, replace the default link with your own feed
  Update the ElevenLabs node with:
  Your API key
  Voice ID
  Update Telegram node with:
  Your bot token
  Your personal chat ID
  🧩 Customization Tips
  Change the Feed Source

  Swap out the RSS feed URL to pull from different blogs, news sites, or content platforms.

  Control Script Style

  Edit the OpenAI prompt to:

  Make it more casual or formal
  Add a call-to-action or intro line
  Include a sign-off (e.g., “Thanks for listening!”)
  Use Different Voices

  In ElevenLabs, you can:

  Create a custom voice
  Choose one with a specific accent or tone
  Adjust stability or clarity for better results
  Add Distribution Channels

  Send the audio to:

  Email
  Notion
  Google Drive
  A podcast host with API support (e.g. Podbean, Buzzsprout)
  🧪 Troubleshooting
  Problem	Solution
  Audio not generating	Check ElevenLabs voice ID and credit limits
  Telegram not sending	Ensure bot token and chat ID are correct
  RSS not pulling content	Verify feed URL and test in browser
  Summary is too short/long	Adjust prompt or temperature in OpenAI node
  📣 Getting Support
  n8n Docs
  ElevenLabs API Docs
  OpenAI API Reference
  n8n Community
  💌 Need help or customization? Email: dimejicole21@gmail.com
  🌟 Enjoyed this template?
  Give it a ⭐ in the library and help creators automate their podcast workflow with AI and voice tech!

  “From RSS feed to voiced podcast in minutes — fully automated.”

nodes_used:
  ["n8n-nodes-base.rssFeedRead","n8n-nodes-base.code","n8n-nodes-base.googleDrive","n8n-nodes-base.telegram","n8n-nodes-base.gmail","n8n-nodes-base.if","n8n-nodes-base.stopAndError","@elevenlabs/n8n-nodes-elevenlabs.elevenLabs","n8n-nodes-base.scheduleTrigger","@n8n/n8n-nodes-langchain.openAi","n8n-nodes-base.stickyNote"]

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name: Convert Tour PDFs to Vector Database using Google Drive, LangChain & OpenAI
author_name: Mohan Gopal
author_username: mohan
categories: []
created_at: 2025-06-21T06:37:26.155Z
updated_at: 2025-06-21T06:37:26.155Z
url: https://n8n.io/workflows/5085
scraped_at: 2025-12-24 13:02:43
description:
  🧩 Workflow: 
  Process Tour PDF from Google Drive to Pinecone Vector DB with OpenAI Embeddings

  Overview
  This workflow automates the process of extracting tour information from PDF files stored in a Google Drive folder, processes and vectorizes the extracted data, and stores it in a Pinecone vector database for efficient querying. This is especially useful for building AI-powered search or recommendation systems for travel packages.

  Setup: 

  Prerequisites
  A folder in Google Drive with PDF tour package brochures.

  Pinecone account + API key

  OpenAI API key

  n8n cloud or self-hosted instance

  Workflow Setup Steps
  Trigger
  Manual Trigger (When clicking 'Test workflow'): Used for manual testing and execution of the workflow.

  Google Drive Integration
  Step 1: Store Tour Packages in PDF Format

  Upload your curated tour packages containing the tours, activities and sight-seeings in PDF format into a designated Google Drive folder.

  Step 2: Search Folder

  Node: PDF Tour Package Folder (Google Drive)

  This node searches the designated folder for files (filter by MIME type = application/pdf if needed).

  Step 3: Download PDFs

  Node: Download Package Files (Google Drive)

  Downloads each matching PDF file found in the previous step.

  Process Each PDF File
  Step 4: Loop Through Files

  Node: Loop Over each PDF file

  Iterates through each downloaded PDF file to extract, clean, split, and embed.

  Data Preparation & Embedding
  Step 5: Data Loader

  Node: Data Loader

  Reads each PDF’s content using a compatible loader. It passes clean raw text to the next node.

  Often integrated with document loaders like pdf-loader, Unstructured, or pdfplumber.

  Step 6: Recursive Text Splitter

  Node: Recursive Character Text Splitter

  Splits large chunks of text into manageable segments using overlapping window logic (e.g., 500 tokens with 50 token overlap).

  This ensures contextual preservation for long documents during embedding.

  Step 7: Generate Embeddings

  Node: Embeddings OpenAI

  Uses text-embedding-3-small model to vectorize the split chunks.

  Outputs vector representations for each content chunk.

  Store in Pinecone
  Step 8: Pinecone Vector Store

  Node: Pinecone Vector Store - Store...

  Stores each embedding along with its metadata (source PDF name, chunk ID, etc.).

  This becomes the basis for fast, semantic search via RAG workflows or agents.

  🛠️ Tools & Nodes Used
  Google Drive (Search & Download)

  Searches for all PDF files in a specified Google Drive folder.
  Downloads each file for processing.
  SplitInBatches (Loop Over Items)

  Loops through each file found in the folder, ensuring each is processed individually.
  Default Data Loader (LangChain)

  Reads and extracts text from the PDF files.
  Recursive Character Text Splitter (LangChain)

  Splits the extracted text into manageable chunks for embedding.
  OpenAI Embeddings (LangChain)

  Converts each text chunk into a vector using OpenAI’s embedding model.
  Pinecone Vector Store (LangChain)

  Stores the resulting vectors in a Pinecone index for fast similarity search and querying.

  🔗 Workflow Steps Explained
  Trigger: 
  The workflow starts manually for testing or can be scheduled.
  Google Drive Search: 
  Finds all PDF files in the specified folder.

  Loop Over Files: 
  Each file is processed one at a time using the SplitInBatches node.

  Download File: 
  Downloads the current PDF file from Google Drive.

  Extract Text: 
  The Default Data Loader node reads the PDF and extracts its text content.

  *Text Splitting: *
  The Recursive Character Text Splitter breaks the text into chunks (e.g., 1000 characters with 50 overlap) to optimize embedding quality.

  **Vectorization: 
  **Each chunk is sent to the OpenAI Embeddings node to generate vector representations.

  Store in Pinecone: 
  The vectors are inserted into a Pinecone index, making them available for semantic search and recommendations.

  🚀 What Can Be Improved in the Next Version?

  *Error Handling: *
  Add error handling nodes to manage failed downloads or extraction issues gracefully.
  File Type Filtering: 
  Ensure only PDF files are processed by adding a filter node.
  Metadata Storage: 
  Store additional metadata (e.g., file name, tour ID) alongside vectors in Pinecone for richer search results.
  *Parallel Processing: *
  Optimize for large folders by processing multiple files in parallel (with care for API rate limits).
  Automated Triggers: 
  Replace manual trigger with a time-based or webhook trigger for full automation.
  Data Validation: 
  Add checks to ensure extracted text contains valid tour data before vectorization.
  User Feedback: 
  Integrate notifications (e.g., email or Slack) to inform when processing is complete or if issues arise.

  💡 Summary
  This workflow demonstrates how n8n can orchestrate a powerful AI data pipeline using Google Drive, LangChain, OpenAI, and Pinecone. It’s a great foundation for building intelligent search or recommendation features for travel and tour data.

  Feel free to ask for more details or share your improvements!


  Let me know if you want to see a specific part of the workflow or need help with a particular node!

nodes_used:
  ["n8n-nodes-base.manualTrigger","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","n8n-nodes-base.splitInBatches","@n8n/n8n-nodes-langchain.vectorStorePinecone","@n8n/n8n-nodes-langchain.embeddingsOpenAi","@n8n/n8n-nodes-langchain.documentDefaultDataLoader","@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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name: Get an automated, curated newsletter everyday using Perplexity and Gmail
author_name: Abhijay Vuyyuru
author_username: abhijayvuyyuru
categories: []
created_at: 2025-06-21T08:42:02.895Z
updated_at: 2025-06-21T08:42:02.895Z
url: https://n8n.io/workflows/5087
scraped_at: 2025-12-24 13:02:42
description:
  This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 

  Setup Time
  5-10 minutes

  Problem
  ⏳ Researching and personalizing outreach is slow and manual!

  You spend hours searching for the right people, reading through profiles, and then writing custom emails—only to repeat the process for every new lead or opportunity. It’s tedious, error-prone, and not scalable.

  What if you could get a beautifully formatted, ready-to-send newsletter in your Gmail drafts—automatically, every day?

  That’s what this Perplexity Newsletter Workflow does, powered by n8n.

  Prerequisites
  n8n account (self-hosted or cloud)
  Perplexity API key (or OpenAI API key for similar LLMs)
  Gmail account (for sending emails)
  (Optional) Google Sheets account (for archiving newsletters)
  Who is this for?
  🎯 Product Managers who want to stay ahead of trends
  🎯 MBA aspirants tracking admission news
  🎯 AI professionals and enthusiasts seeking curated updates
  🎯 Anyone who wants a daily, personalized, multi-topic newsletter—without manual work

  Step-by-step workflow
  Setup time: 5-10 minutes

  Trigger

  Use a Cron node to schedule the workflow (e.g., every morning at 8am).
  Fetch News from Perplexity

  Add three HTTP Request nodes (or Perplexity nodes if available):
  One for MBA News
  One for Product Management News
  One for AI Automation News
  Each node sends a prompt to Perplexity and receives a summary with citations.
  Merge News Items

  Use a Merge node (mode: Append) to combine the three news responses.
  Format Newsletter

  Add a Code node after the Merge node.
  In the Code node, format each news item with a section header (e.g., “MBA News”, “Product Management”, “AI Automation News”), apply HTML formatting, and combine all into a single HTML message.
  (Use the code from our previous message for beautiful formatting and sectioning.)
  Send Email

  Add a Gmail node.
  Set the “HTML” field to the formatted newsletter from the Code node.
  Set the “Subject” to something like “🤖 Your Daily Perplexity Newsletter”.
  (Optional) Archive to Google Sheets

  Add a Google Sheets node to append the newsletter content and date for future reference.

  Sample Output

  A single, beautifully formatted email in your Gmail drafts, with three clearly labeled sections, clickable sources, and all the latest insights—ready to send or review.

  Ready to automate your daily insights?
  Set up this workflow in n8n and never miss an update again!

  Customization

  Change schedule time in the Cron node
  Modify news topics or prompts in the Perplexity nodes
  Adjust section titles or email styling in the Format Newsletter (Code) node

nodes_used:
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name: 🛠️ seven Tool MCP Server with both available operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-21T08:49:51.561Z
updated_at: 2025-06-21T08:49:51.561Z
url: https://n8n.io/workflows/5088
scraped_at: 2025-12-24 13:02:46
description:
  🛠️ seven Tool MCP Server

  Complete MCP server exposing all seven Tool operations to AI agents. Zero configuration needed - all 2 operations pre-built.

  ⚡ Quick Setup
  Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?

  Join the community

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every seven Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n seven Tool tool with full error handling

  📋 Available Operations (2 total)

  Every possible seven Tool operation is included:

  🔧 Sms (1 operations)

  • Send an SMS

  🔧 Voice (1 operations)

  • Convert text to voice

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native seven Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every seven Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.sms77Tool","n8n-nodes-base.stickyNote","n8n-nodes-base.sms77Tool","n8n-nodes-base.stickyNote"]

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name: 🛠️ SIGNL4 Tool MCP Server with both operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-21T08:52:26.073Z
updated_at: 2025-06-21T08:52:26.073Z
url: https://n8n.io/workflows/5089
scraped_at: 2025-12-24 13:02:46
description:
  🛠️ SIGNL4 Tool MCP Server

  Complete MCP server exposing all SIGNL4 Tool operations to AI agents. Zero configuration needed - all 2 operations pre-built.

  ⚡ Quick Setup

  Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?

  Join the community

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every SIGNL4 Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n SIGNL4 Tool tool with full error handling

  📋 Available Operations (2 total)

  Every possible SIGNL4 Tool operation is included:

  🔧 Alert (2 operations)

  • Send an alert
  • Resolve an alert

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native SIGNL4 Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every SIGNL4 Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.signl4Tool","n8n-nodes-base.signl4Tool","n8n-nodes-base.stickyNote"]

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name: Send Pushover Notifications From AI Agent
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-21T09:14:24.960Z
updated_at: 2025-06-21T09:14:24.960Z
url: https://n8n.io/workflows/5090
scraped_at: 2025-12-24 13:02:46
description:
  🛠️ Pushover Tool MCP Server

  Complete MCP server exposing all Pushover Tool operations to AI agents. Zero configuration needed - 1 operation pre-built.

  ⚡ Quick Setup

  Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?

  Join the community

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Pushover Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Pushover Tool tool with full error handling

  📋 Available Operations (1 total)

  Every possible Pushover Tool operation is included:

  💬 Message (1 operations)

  • Push a message

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Pushover Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Pushover Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.pushoverTool","n8n-nodes-base.stickyNote"]

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name: 🛠️ Pushbullet Tool MCP Server 💪 all 4 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-21T09:17:02.498Z
updated_at: 2025-06-21T09:17:02.498Z
url: https://n8n.io/workflows/5091
scraped_at: 2025-12-24 13:02:46
description:
  Complete MCP server exposing all Pushbullet Tool operations to AI agents. Zero configuration needed - all 4 operations pre-built.

  ⚡ Quick Setup

  Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?

  Join the community

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Pushbullet Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Pushbullet Tool tool with full error handling

  📋 Available Operations (4 total)

  Every possible Pushbullet Tool operation is included:

  🔧 Push (4 operations)

  • Create a push
  • Delete a push
  • Get many pushes
  • Update a push

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Pushbullet Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Pushbullet Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.pushbulletTool","n8n-nodes-base.pushbulletTool","n8n-nodes-base.pushbulletTool","n8n-nodes-base.pushbulletTool","n8n-nodes-base.stickyNote"]

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name: 🛠️ ProfitWell Tool MCP Server 💪 both operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-21T09:17:36.879Z
updated_at: 2025-06-21T09:17:36.879Z
url: https://n8n.io/workflows/5092
scraped_at: 2025-12-24 13:02:46
description:
  Complete MCP server exposing all ProfitWell Tool operations to AI agents. Zero configuration needed - all 2 operations pre-built.

  ⚡ Quick Setup

  Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?

  Join the community

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every ProfitWell Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n ProfitWell Tool tool with full error handling

  📋 Available Operations (2 total)

  Every possible ProfitWell Tool operation is included:

  🔧 Company (1 operations)

  • Get settings for your company

  🔧 Metric (1 operations)

  • Get a metric

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native ProfitWell Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every ProfitWell Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.profitWellTool","n8n-nodes-base.stickyNote","n8n-nodes-base.profitWellTool","n8n-nodes-base.stickyNote"]

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name: Twitter/X Content Analysis & Insights with Grok AI and Telegram Delivery
author_name: Rish
author_username: b2brish
categories: []
created_at: 2025-06-21T09:21:45.558Z
updated_at: 2025-06-21T09:21:45.558Z
url: https://n8n.io/workflows/5093
scraped_at: 2025-12-24 13:02:45
description:
  👉🏻  Tutorial Video

  🔬 Introducing X-Ray Pro: Your Intelligent X (Twitter) & Web Insight Machine! 💡

  Hey n8n community! 👋

  Tired of sifting through endless feeds to find meaningful insights on X (formerly Twitter) and the web? We've got something special for you! I'm excited to unveil X-Ray Pro, a powerful n8n workflow designed to be your ultimate information curator. It cuts through the digital noise and delivers precise, actionable intelligence right to your fingertips. Say goodbye to information overload and hello to clarity! 🚀

  Step-by-Step Setup Instructions

  1. Create Required Credentials

  Grok AI (xAI) Credentials
  Visit the xAI platform and create an account
  Generate an API key
  In n8n, create a new credential:
    Type: "Generic Credential"
    Name: "Grok AI API"
    Add field: Authorization with value Bearer YOUR_API_KEY

  Telegram Bot Credentials
  Contact @BotFather on Telegram
  Create a new bot with /newbot
  Save the bot token
  In n8n, create "Telegram" credential with your bot token
  Get your chat ID by messaging your bot and checking the webhook

  OpenAI Credentials
  Get your OpenAI API key from platform.openai.com
  Create "OpenAI" credential in n8n with your API key

  2. Import and Configure the Workflow

  Import the Workflow
  Copy the provided workflow JSON
  In n8n, go to "Workflows" → "Import from URL/File"
  Paste the JSON content

  Update Node Names and Structure
  The workflow includes these key components:

  Trigger Node:
  Telegram Trigger - Receives messages from Telegram

  Analysis Nodes: (Rename for clarity)
  Tech Leaders Monitor (was "Updates from Tech Leaders")
  Breaking News Scanner (was "Real-Time Breaking News")
  Cross-Source Analyzer (was "Multi-Source Analysis")
  Historical Data Miner (was "Historical Events")
  Community Sentiment Tracker (was "Community Pulse Check")
  Viral Content Detector (was "Find Memes and Trends")

  Core Processing:
  AI Agent Coordinator (was "X-Ray Pro")
  Language Model (OpenAI Chat Model)

  Output Node:
  Telegram Response (was "Telegram")

  3. Secure API Key Configuration

  CRITICAL SECURITY UPDATE:

  Replace the hardcoded API keys in all HTTP Request nodes with credential references:

  Select each HTTP Request node
  Remove the hardcoded Authorization header
  In "Headers" section, select "Credentials"
  Choose your "Grok AI API" credential
  Repeat for all 6 analysis nodes

  Give X-Ray Pro a try and transform how you gather insights!

nodes_used:
  ["n8n-nodes-base.httpRequestTool","n8n-nodes-base.httpRequestTool","n8n-nodes-base.httpRequestTool","n8n-nodes-base.httpRequestTool","n8n-nodes-base.httpRequestTool","n8n-nodes-base.httpRequestTool","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.telegram","n8n-nodes-base.telegramTrigger","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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name: 🛠️ Plivo Tool MCP Server 💪 all 3 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-21T09:22:19.706Z
updated_at: 2025-06-21T09:22:19.706Z
url: https://n8n.io/workflows/5094
scraped_at: 2025-12-24 13:02:46
description:
  🛠️ Plivo Tool MCP Server

  Complete MCP server exposing all Plivo Tool operations to AI agents. Zero configuration needed - all 3 operations pre-built.

  ⚡ Quick Setup

  Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?

  Join the community

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Plivo Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Plivo Tool tool with full error handling

  📋 Available Operations (3 total)

  Every possible Plivo Tool operation is included:

  🔧 Call (1 operations)

  • Make a call

  🔧 Mms (1 operations)

  • Send an MMS

  🔧 Sms (1 operations)

  • Send an SMS

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Plivo Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Plivo Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.plivoTool","n8n-nodes-base.stickyNote","n8n-nodes-base.plivoTool","n8n-nodes-base.stickyNote","n8n-nodes-base.plivoTool","n8n-nodes-base.stickyNote"]

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name: 🛠️ Philips Hue Tool MCP Server 💪 all 4 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-21T09:26:45.717Z
updated_at: 2025-06-21T09:26:45.717Z
url: https://n8n.io/workflows/5095
scraped_at: 2025-12-24 13:02:46
description:
  🛠️ Philips Hue Tool MCP Server

  Complete MCP server exposing all Philips Hue Tool operations to AI agents. Zero configuration needed - all 4 operations pre-built.

  ⚡ Quick Setup

  Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?

  Join the community

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Philips Hue Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Philips Hue Tool tool with full error handling

  📋 Available Operations (4 total)

  Every possible Philips Hue Tool operation is included:

  🔧 Light (4 operations)

  • Delete a light
  • Get a light
  • Get many lights
  • Update a light

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Philips Hue Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Philips Hue Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.philipsHueTool","n8n-nodes-base.philipsHueTool","n8n-nodes-base.philipsHueTool","n8n-nodes-base.philipsHueTool","n8n-nodes-base.stickyNote"]

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name: AI-Powered Restaurant Order and Menu Management with WhatsApp and Google Gemini
author_name: Tamer
author_username: tamerelzein
categories: []
created_at: 2025-06-21T10:16:38.019Z
updated_at: 2025-06-21T10:16:38.019Z
url: https://n8n.io/workflows/5096
scraped_at: 2025-12-24 13:02:42
description:
  RestaurantBot Pro - WhatsApp Order Automation System
  Description
  RestaurantBot Pro is a complete AI-powered restaurant ordering system that transforms your WhatsApp into a smart ordering platform. This intelligent automation handles customer interactions in any language you configure, manages your menu database, processes orders, and coordinates delivery operations - all through familiar WhatsApp messaging.
  How It Works
  Customer Experience:

  Customers message your restaurant's WhatsApp number in their preferred language
  The AI assistant greets them and presents your current menu with prices
  Customers can ask questions about items, place orders, and specify delivery details
  The system remembers customer preferences and order history for personalized service
  Customers receive instant confirmation and order updates

  Restaurant Operations:

  All orders are automatically saved to your database with customer details
  The system generates formatted messages for your delivery team with all order specifics
  Menu items are stored using advanced AI search, making it easy to find and recommend dishes
  Customer database grows automatically, tracking preferences and order history
  Real-time order processing with preparation time estimates

  Smart Features:

  Understands natural language ordering in any language (easily customizable in system settings)
  Intelligent menu recommendations based on customer queries
  Automatic price calculations and order summaries
  Memory system that recalls customer preferences across conversations
  Seamless integration between customer orders and delivery coordination
  Fully customizable language support - simply modify the AI agent's system instructions to serve customers in Arabic, English, French, Spanish, or any language of your choice

  Setup Steps
  Database Preparation

  Set up your restaurant database with customer and order tables
  Configure AI-powered menu search capabilities
  Enable vector extensions for intelligent menu recommendations

  WhatsApp Integration

  Connect your business WhatsApp account
  Configure webhook endpoints for message handling
  Set up automated responses and delivery notifications

  AI Configuration

  Connect Google Gemini AI models for natural language processing
  Customize language settings by editing the AI agent's system instructions to match your target audience
  Set up structured order processing and validation

  Menu Management

  Add your menu items through the admin interface
  Include prices, descriptions, categories, and preparation times
  Enable intelligent search and recommendations

  Delivery Setup : just add delevery phone number to the "Send Order to delevery" node


  Perfect for: Restaurants serving any cuisine and customer base - whether you need Arabic, English, French, Spanish, or any other language support. Simply adjust the AI agent's language settings to match your customers' preferences. Ideal for traditional ethnic restaurants, international chains, local eateries, delivery-focused establishments, and any restaurant wanting to modernize their ordering process while maintaining authentic customer communication in their preferred language.

nodes_used:
  ["n8n-nodes-base.whatsAppTrigger","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.whatsApp","n8n-nodes-base.supabase","n8n-nodes-base.if","n8n-nodes-base.supabase","@n8n/n8n-nodes-langchain.memoryBufferWindow","@n8n/n8n-nodes-langchain.outputParserStructured","n8n-nodes-base.if","n8n-nodes-base.supabaseTool","n8n-nodes-base.formTrigger","@n8n/n8n-nodes-langchain.documentDefaultDataLoader","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.embeddingsGoogleGemini","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","n8n-nodes-base.whatsApp","@n8n/n8n-nodes-langchain.vectorStoreSupabase","@n8n/n8n-nodes-langchain.vectorStoreSupabase"]

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name: Midjourney Image Generator via Telegram and GoAPI
author_name: Dhruv Dalsaniya
author_username: ddm21
categories: []
created_at: 2025-06-21T10:28:50.863Z
updated_at: 2025-06-21T10:28:50.863Z
url: https://n8n.io/workflows/5097
scraped_at: 2025-12-24 13:02:41
description:
  This workflow connects Telegram to Midjourney through GoAPI, enabling automated image generation and upscaling directly from chat.

  How it Works
  Telegram Command Trigger**: The workflow activates upon receiving a message in Telegram.
  Image Generation**: Your prompt is sent to GoAPI, which then generates an image using Midjourney.
  Upscale Selection**: You receive the generated image and select an option for upscaling.
  Image Upscaling**: The selected image is upscaled via GoAPI.
  Notifications and Logs**: Progress updates are sent to Telegram, and all images are logged in Discord.

  Set Up Steps
  Create a Telegram Bot and update credentials in Telegram nodes.
  Create a GoAPI account, obtain an API key, and update the three HTTP nodes: "Get Generation Task," "Upscale," and "Get Upscale Task".
  (Optional) Configure the Discord node for logging if desired.

  Setup takes approximately 10-15 minutes. Detailed descriptions are available in sticky notes within the workflow.

nodes_used:
  ["n8n-nodes-base.telegramTrigger","n8n-nodes-base.set","n8n-nodes-base.wait","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.if","n8n-nodes-base.telegram","n8n-nodes-base.telegram","n8n-nodes-base.wait","n8n-nodes-base.if","n8n-nodes-base.telegram","n8n-nodes-base.discord","n8n-nodes-base.telegram","n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
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name: Fetch All Shopify Orders (Handles 250-Limit Loop)
author_name: Strategiflows
author_username: strategiflows
categories: []
created_at: 2025-06-21T10:50:24.494Z
updated_at: 2025-06-21T10:50:24.494Z
url: https://n8n.io/workflows/5098
scraped_at: 2025-12-24 13:02:43
description:
  Who Is This For?  
  E-commerce managers, data analysts, and n8n beginners who need a hands-off way to pull all Shopify orders—even stores with thousands of orders—into Google Sheets for reporting or BI.

  What Problem Does It Solve?  
  Shopify’s GraphQL API only returns up to 250 orders per call, forcing you to manually manage cursors and loops. This template handles the “get next 250” logic for you, so you never miss an order.

  What This Workflow Does  
  Schedule Trigger – Runs at your chosen cadence (daily, hourly, or manual).  
  Set Date Range – Defines startDay and endDay based on $now.  
  GraphQL Loop – Fetches orders 250 at a time, using pageInfo.hasNextPage and endCursor until complete.  
  Code Node – Flattens orders into line-item rows and summarizes by SKU/vendor.  
  Google Sheets – Appends results to your sheet for easy analysis.

nodes_used:
  ["n8n-nodes-base.set","n8n-nodes-base.graphql","n8n-nodes-base.if","n8n-nodes-base.code","n8n-nodes-base.googleSheets","n8n-nodes-base.scheduleTrigger"]

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name: TalentFlow AI – Instantly evaluate applicant's GitHub, LinkedIn, using AI
author_name: Roshan Ramani
author_username: rawsun007
categories: []
created_at: 2025-06-21T11:34:20.932Z
updated_at: 2025-06-21T11:34:20.932Z
url: https://n8n.io/workflows/5099
scraped_at: 2025-12-24 13:02:46
description:
  AI-Powered Job Application Screening Workflow

  Who Is This For?

  This template is ideal for:
  HR teams**
  Recruiters**
  Hiring managers**

  Who want to automate the screening of job applicants. If you collect candidate data via JotForm and want an AI‑powered, multi‑source evaluation—without manual copy‑paste—this workflow is for you.

  What Problem Does This Solve?

  Manually reviewing:
  LinkedIn profiles
  GitHub repos
  LeetCode stats
  Resume PDFs

  Is time‑consuming and error‑prone. This workflow:
  Centralizes all candidate data
  Scores each dimension against specific job requirements
  Appends results to Google Sheets
  Helps make data‑driven hiring decisions faster

  What This Workflow Does

  1. Trigger on New JotForm Submission
  Captures candidate name, email, social URLs, resume link, and job description  
  (Pro Tip: Add hidden field in JotForm to pass job requirements)

  2. Extract & Normalize Usernames
  Parses LinkedIn, GitHub, and LeetCode handles

  3. Scrape & Format Data
  LinkedIn** → profile & latest posts via ScrapingDog & Apify
  GitHub** → profile, repos, and contribution metrics via GitHub GraphQL
  LeetCode** → submission stats & rankings via LeetCode GraphQL
  Resume** → converts PDF to text with PDF.co

  4. AI‑Powered Evaluation
  Uses LangChain agents on OpenRouter to:
  Generate fit scores (1–10) based on job description
  Provide justifications for each source
  Analyze candidate suitability against specific role requirements

  5. Merge & Append
  Consolidates scores and feedback → writes new row to Google Sheets with hyperlinks and totals

  Setup

  JotForm Configuration
  Create your job application form
  Add Hidden Field:
     Name: job_description
     Value: [Paste full job description here]
     (This enables AI to evaluate candidates against specific role requirements)
  Create fields matching the workflow requirements

  Required Credentials/Variables
  JotForm API key
  SCRAPINGDOG_API_KEY & Apify token
  GitHub personal access token (read‑only)
  PDF.co API key
  OpenRouter API key

  Configuration Steps
  Google Sheets
     Create or select spreadsheet
     Grant n8n access
  Node Organization
     All nodes renamed for clarity
     Sticky notes explain prerequisites

  How to Customize

  1. Job-Specific Evaluation
  Include hidden job_description field in JotForm
  AI will automatically analyze candidates against these requirements

  2. Add/Edit Fields
  Use Edit Fields node to map your form questions

  3. Adjust Scoring
  Tweak agent prompts:
  linkedin evaluation
  github evaluation
  etc.

  4. Extend Sources
  Insert new branches (e.g., Stack Overflow) by following existing patterns

  Result

  Transforms raw candidate submissions into actionable insights—evaluating applicants against specific job requirements and reducing screening time from hours to minutes with consistent, unbiased evaluations.

nodes_used:
  ["@n8n/n8n-nodes-langchain.lmChatOpenRouter","@n8n/n8n-nodes-langchain.lmChatOpenRouter","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.lmChatOpenRouter","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.lmChatOpenRouter","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.merge","@n8n/n8n-nodes-langchain.outputParserStructured","@n8n/n8n-nodes-langchain.outputParserStructured","@n8n/n8n-nodes-langchain.outputParserStructured","@n8n/n8n-nodes-langchain.outputParserStructured","n8n-nodes-base.noOp","n8n-nodes-base.noOp","n8n-nodes-base.noOp","n8n-nodes-base.jotFormTrigger","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.code","n8n-nodes-base.if","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.code","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.if","n8n-nodes-base.if","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-pdfco.PDFco Api","n8n-nodes-base.httpRequest","n8n-nodes-base.merge","n8n-nodes-base.code","n8n-nodes-base.googleSheets","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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name: GPT-4o, RunwayML, ElevenLabs for Social Media
author_name: Mohan Gopal
author_username: mohan
categories: []
created_at: 2025-06-21T12:27:41.272Z
updated_at: 2025-06-21T12:27:41.272Z
url: https://n8n.io/workflows/5100
scraped_at: 2025-12-24 13:02:42
description:
  🎥 AI Tour Video Generator with GPT-4o, RunwayML & ElevenLabs for Social Media'

  This n8n workflow generates 20-second faceless videos for social media by combining AI-generated images, audio, and video clips for a given tour destination.

  The output is a ready-to-publish video file, which can be pushed to social platforms and logged in a tracking sheet.

  ⚙️ Workflow Overview

  This system is divided into 4 main sections:

  🧠 Generate Image Prompts
  🎨 Generate Media (Images, Videos, Audio)
  🛠️ Render & Upload
  📈 Future Enhancements

  🔌 Integration Setup Table

  | Integration        | Service Used               | Setup Instruction                                                                 |
  |--------------------|----------------------------|------------------------------------------------------------------------------------|
  | OpenAI         | GPT-4o (Prompt Generation) | Get API Key and configure in n8n   |
  | Google Sheet   | Idea I/O tracking          | Connect Google account with OAuth/Credentials in n8n                              |
  | Piapia API     | AI Image Generation        | Sign up at piapia.ai and get API key                         |
  | Runway API     | AI Video Generation        | Register at runwayml.com for access                       |
  | ElevenLabs     | AI Voice Generation        | Sign up at elevenlabs.io for API key                |
  | CreateMate API | Render Final Video         | Visit createmate.ai to access API                        |
  | Google Drive   | Upload/Share Final Video   | Use n8n Google Drive node to configure credentials                                |

  ✅ Required Services & Tools

  Ensure you have active accounts with the following tools and services:

  ✅ OpenAI (GPT-4o + Embeddings)
  ✅ Google Sheets (for destination ideas and tracking)

  ✅ Piapia API (Image generation)
  ✅ RunwayML API (Video generation)
  ✅ ElevenLabs API (Voiceover TTS)
  ✅ Google Drive (Storage & Sharing)
  ✅ CreateMate (Video Rendering)
  ✅ Social Media Scheduler (Optional - Zapier, Buffer, Make.com)

  🧠 1. Generate Image Prompts

  &gt; Purpose: Prepares the content idea and generates visual prompts.

  | Step         | Node Name              | Function                                      |
  |--------------|------------------------|-----------------------------------------------|
  | 🔁 Trigger   | Schedule or Manual     | Starts the workflow                           |
  | 📥 Grab Idea | Read Sheet             | Pulls destination idea from Google Sheet      |
  | ✍️ Set Content | Manual Input        | Adds structure/narrative to the idea          |
  | 🔀 Split     | Split Out              | Breaks input into chunks                      |
  | 🤖 GPT Agent | Image Prompt Agent     | Uses GPT-4o to generate creative image prompts|
  | 🧹 Clean     | Remove \n              | Cleans up formatting                          |
  | 📌 Save      | Set Prompts            | Finalizes prompts for next stage              |

  🖼️ 2. Generate Media

  🎨 Generate Images

  | Step           | Function                                                  |
  |----------------|-----------------------------------------------------------|
  | Generate Image | Calls Piapia API with AI-generated prompts                |
  | Wait           | Adds delay for rendering (90 sec)                         |
  | Get Images     | Retrieves final images for video                          |

  🎥 Generate Videos

  | Step           | Function                                                  |
  |----------------|-----------------------------------------------------------|
  | Generate Video | Calls RunwayML to generate video clips from the prompts   |
  | Wait           | 2-minute delay to allow video generation                  |
  | Get Videos     | Fetches completed video clips                             |

  🔊 Generate Audio

  | Step             | Function                                                 |
  |------------------|----------------------------------------------------------|
  | Update Status    | Logs progress in Google Sheet                            |
  | Sound Agent      | Gemini or GPT generates narration text                   |
  | Set Audio        | Formats narration for voice synthesis                    |
  | Generate Audio   | Uses ElevenLabs for realistic voiceover                  |
  | Upload to Drive  | Saves final audio to Google Drive                        |
  | Share File       | Creates sharable URL for audio file                      |

  🛠️ 3. Render & Upload

  &gt; Purpose: Combines all elements (image, video, audio) into a single output and prepares for social media.

  | Step            | Function                                                       |
  |-----------------|----------------------------------------------------------------|
  | Merge           | Combines images, videos, and audio                             |
  | Split Out Parts | Breaks content for rendering                                   |
  | Render Video    | Uses CreateMate to render the final 20-second video            |
  | Wait            | Short delay to complete rendering                              |
  | Download Video  | Saves output video locally or on Drive                         |
  | Update Sheet    | Logs final video URL/status in Google Sheet                   |
  | Social Upload   | (Coming Soon) Post to Instagram, YouTube Shorts, TikTok, etc. |

  🧩 Pre-Conditions

  Before running the workflow:

  ✅ Google Sheet should be created with destination ideas
  ✅ All API keys must be configured in n8n
  ✅ Google Drive folder must exist for output videos
  ✅ Sufficient credit/quota must be available on AI platforms
  ✅ Internet access must be stable for external API calls

  🚀 Outcome

  A polished 20-second travel destination video
  Combines AI visuals, short clips, and AI narration
  Ready for instant social media upload
  Fully automated** from idea to video file

  🧠 Tech Stack Summary

  | Component       | Tools Used                    |
  |-----------------|-------------------------------|
  | Language Model  | GPT-4o (OpenAI), Gemini (Google) |
  | Image Generator | Piapia API                    |
  | Video Generator | RunwayML                      |
  | Audio Generator | ElevenLabs                    |
  | Storage         | Google Drive                  |
  | Video Composer  | CreateMate API                |
  | Orchestration   | n8n                           |

  📈 Future Enhancements

  ✅ Smart Enhancements
  Dynamic hashtags & captions via AI
  Auto-post to TikTok, Instagram, YouTube via Buffer/Zapier
  Scene detection + matching B-roll
  Multilingual narration (e.g., Arabic, French, Malay)
  A/B testing of video versions to analyze performance

  🧪 Testing Add-ons
  Add preview screen before upload
  Error tracking & retry flow
  Manual override before publishing

  🧰 Customization Guide

  | Element              | How to Customize                                                  |
  |----------------------|-------------------------------------------------------------------|
  | ✏️ Prompt Format     | Change structure inside Set Content or Prompt Agent               |
  | 🌍 Destination Ideas | Modify Google Sheet for different destinations/categories         |
  | 🎨 Image Style       | Customize prompt to Piapia (e.g., “in Pixar style”, “3D render”)  |
  | 🎙️ Voiceover Script | Adjust tone/structure in the Sound Agent                          |
  | 📆 Posting Schedule  | Use Zapier/Buffer for timed posting                               |
  | 🎯 Target Duration   | Adjust number of clips or frame duration                          |

  🙌 Community Value

  This workflow is ideal for:

  📸 Travel content creators
  🌍 Destination marketers
  🏛️ Tourism boards
  🧳 Travel SMEs looking for automation

  Feel free to fork, remix, or request a JSON export in the comments below!

nodes_used:
  ["n8n-nodes-base.manualTrigger","n8n-nodes-base.googleSheets","n8n-nodes-base.splitOut","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.code","n8n-nodes-base.set","n8n-nodes-base.httpRequest","n8n-nodes-base.wait","n8n-nodes-base.httpRequest","n8n-nodes-base.limit","n8n-nodes-base.googleSheets","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.set","n8n-nodes-base.httpRequest","n8n-nodes-base.googleDrive","n8n-nodes-base.merge","n8n-nodes-base.httpRequest","n8n-nodes-base.wait","n8n-nodes-base.httpRequest","n8n-nodes-base.googleSheets","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.wait","n8n-nodes-base.stickyNote","n8n-nodes-base.code","n8n-nodes-base.googleDrive","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
  [encoded data, 8900 characters]


name: SmartLead Sheet Sync (Airtable Edition)
author_name: David Olusola
author_username: dae221
categories: []
created_at: 2025-06-21T12:43:25.077Z
updated_at: 2025-06-21T12:43:25.077Z
url: https://n8n.io/workflows/5101
scraped_at: 2025-12-24 13:02:45
description:
  Auto-capture client inquiries straight into Airtable —  no coding, just plug & play.
  Running a service business, agency, or funnel? Stop manually copying leads from your form to your CRM. This simple automation does it for you.


  ✅ What It Does:
  Instantly captures form submissions via Webhook
  Formats the data (name, email, project info, etc.)
  Adds each new lead into your Airtable base — like magic
  💼 Perfect For:
  Freelancers & coaches
  Agencies & consultants
  Creators with landing pages or service funnels
  💻 You’ll Get:
  A pre-built n8n workflow (Webhook → Code → Airtable)
  Plug & play setup instructions (takes 5–10 mins)
  Clean, editable JavaScript code to match your form fields
  Thumbnail for marketing or reselling
  🛠 Tools Used:
  n8n (Free automation platform)
  Airtable (Free/paid CRM & spreadsheet tool)


  🔒 No  fees. No recurring tools. No code headaches.
  💸 Built to deliver massive value for just $8.

nodes_used:
  ["n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.webhook","n8n-nodes-base.code","n8n-nodes-base.airtable"]

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name: Google Sheets UI for n8n Workflow
author_name: Viktor Klepikovskyi
author_username: vklepikovskyi
categories: []
created_at: 2025-06-21T13:26:53.648Z
updated_at: 2025-06-21T13:26:53.648Z
url: https://n8n.io/workflows/5102
scraped_at: 2025-12-24 13:02:46
description:
  Google Sheets UI for Workflow Control

  This n8n template provides a practical and efficient way to manage your n8n workflows using Google Sheets as a user-friendly interface. It demonstrates how to leverage a simple spreadsheet to control inputs, capture outputs, and track the processing status of individual data rows, offering a clear and visual overview of your automation tasks.

  Purpose of This Template:

  The primary purpose of this template is to illustrate how Google Sheets can serve as a dynamic UI for your n8n automations. It's designed for n8n users who need:

  A structured method to feed specific data into their workflows.
  The ability to selectively trigger workflow execution based on data status.
  A centralized place to view and store workflow outputs alongside original inputs.
  A simple, no-code solution for managing workflow data without building custom applications.

  Setup Instructions:

  To use this template, follow these steps:

  Create a Google Sheet: Set up a new Google Sheet (see the template here) with three columns: Color, Status, and Number. Populate the Color column with some sample data (e.g., color names) and set the Status for the rows you want to process to READY.
  Import the n8n Workflow: Import this n8n template into your n8n instance.
  Configure Google Sheets Nodes:
     For the first Google Sheets node (Read operation), ensure it's connected to your newly created Google Sheet and configured to read rows where the Status column is READY. You will need to authenticate your Google Sheets account.
     For the second Google Sheets node (Update operation), ensure it's also connected to the same Google Sheet. The node should automatically map the row_number, Number, and Status fields from the preceding nodes.
  Execute the Workflow: Run the workflow. Observe how it reads READY rows, processes them (calculates string length), and updates the Number and Status columns in your Google Sheet to DONE.
  Control Execution: To process new data, simply add new rows to your Google Sheet and set their Status to READY. Rerunning the workflow will then only process these new entries.

  For more details and context on this approach, you can refer to the related blog post here.

nodes_used:
  ["n8n-nodes-base.manualTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.splitInBatches","n8n-nodes-base.set","n8n-nodes-base.googleSheets","n8n-nodes-base.googleSheets"]

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name: AI-Powered Vendor Policy & RSS Feed Analysis with Integrated Risk Scoring
author_name: Kamalraj
author_username: kamalraj
categories: []
created_at: 2025-06-21T13:38:35.772Z
updated_at: 2025-06-21T13:38:35.772Z
url: https://n8n.io/workflows/5103
scraped_at: 2025-12-24 13:02:42
description:
  🧠 Overview

  A dual-engine, AI-driven n8n workflow that automates the monitoring of both vendor policy webpages and compliance-related RSS feeds. It intelligently detects recent updates, evaluates their potential risk, and delivers a structured HTML digest categorized by severity — right to your inbox.

  ⚙️ How It Works

  1️⃣ Scheduled Execution  
  ⏰ Runs daily at 3 AM to ensure timely and consistent monitoring.

  2️⃣ Dual Data Streams  
  📰 RSS Feed Monitoring: Ingests articles from selected feeds focused on security, privacy, and compliance.  
  🌐 Vendor Webpage Monitoring: Fetches specified policy URLs and checks for updates using Last-Modified headers and in-page content analysis.

  3️⃣ Content Filtering  
  🧹 Applies logic to filter out stale or irrelevant data, focusing only on updates within the past 24 hours.

  4️⃣ AI-Powered Risk Categorization  
  🤖 Two dedicated AI agents (one per stream) analyze content to:  
  📝 Generate a 2-line compliance/risk-focused summary  
  🚦 Assign a risk score: High, Medium, Low, or Informational

  5️⃣ Digest Generation  
  🖼️ Summaries are grouped by risk level and formatted into a visually polished HTML report, using category-specific styles and color coding.

  6️⃣ Email Delivery  
  📧 Automatically sends out two separate email reports via Gmail:  
  🗂️ One for vendor webpage updates  
  📰 One for RSS feed-based vendor news

  ✨ Key Features

  🔁 Automates daily monitoring across feeds and policy pages  
  🤖 AI-driven summarization and structured risk scoring  
  🧾 Clean, HTML-formatted digests grouped by risk category  
  🧩 Fully customizable: feed sources, vendor URLs, AI prompts, and email styling  
  🛡️ Designed for compliance, security, and risk teams needing proactive intelligence

nodes_used:
  ["n8n-nodes-base.httpRequest","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.code","n8n-nodes-base.splitOut","n8n-nodes-base.rssFeedRead","n8n-nodes-base.code","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","n8n-nodes-base.gmail","n8n-nodes-base.gmail","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","n8n-nodes-base.filter","n8n-nodes-base.code","n8n-nodes-base.sort","n8n-nodes-base.code","n8n-nodes-base.merge","n8n-nodes-base.code","n8n-nodes-base.code","n8n-nodes-base.code","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.splitOut","n8n-nodes-base.if","n8n-nodes-base.stickyNote"]

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name: Automatically Post Latest Reddit Content to Discord with Image Extraction
author_name: ikbendion
author_username: ikbendion
categories: []
created_at: 2025-06-21T14:59:26.292Z
updated_at: 2025-06-21T14:59:26.292Z
url: https://n8n.io/workflows/5105
scraped_at: 2025-12-24 13:02:43
description:
  Reddit Poster to Discord
  This workflow checks Reddit every 15 minutes for new posts and sends selected posts to a Discord channel via webhook.

  Flow Overview:
  Schedule Trigger
  Runs every 15 minutes.

  Fetch Latest Posts
  Retrieves up to 3 new posts from any subreddit.

  Filter Posts
  Skips moderator or announcement posts based on author ID.

  Fetch Full Post Data
  Gets full details for the remaining post.

  Extract Image URL
  Parses the post to extract a direct image link.

  Send to Discord
  Sends the post title, image, and link to a Discord webhook.

  Setup Notes:
  Create a Reddit app and connect credentials in n8n.

  Add your subreddit name to both Reddit nodes.

  Connect a Discord webhook for posting.

nodes_used:
  ["n8n-nodes-base.scheduleTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.reddit","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.if","n8n-nodes-base.reddit","n8n-nodes-base.code","n8n-nodes-base.discord","n8n-nodes-base.stickyNote"]

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name: SEO On-site Audit
author_name: Jacob
author_username: jacobgad
categories: []
created_at: 2025-06-21T16:39:34.273Z
updated_at: 2025-06-21T16:39:34.273Z
url: https://n8n.io/workflows/5106
scraped_at: 2025-12-24 13:02:44
description:
  Automated SEO Audit in n8n – Your All-in-One Website Optimization Tool!

  Looking for a powerful, fully automated solution to analyze your website’s SEO? Our custom n8n workflow is designed just for you!

  What does this workflow do?
  Our advanced SEO audit collects all the essential data that impact your site’s search engine rankings, including:

  Analysis of meta tags (title, description) with actionable optimization recommendations

  Verification of H1 and H2 headings, presented in clear, organized tables

  Checking internal, external, and broken links for full link health insights

  Detection of key technical files: robots.txt and sitemap.xml

  Identification of Google Analytics and social media links implementation

  Evaluation of URL friendliness and mobile responsiveness

  SSL certificate and noindex meta tag presence checks

  Integration with Google PageSpeed API for website speed and performance metrics

  DeepSeek API support for in-depth content and keyword analysis

  Generation of clean, user-friendly HTML reports ready to share with clients or teams

  Why choose this workflow?
  Easy integration – just connect your Google PageSpeed and DeepSeek API keys, and the workflow automatically gathers and analyzes all data.

  Fully automated – run the workflow and get a comprehensive SEO report with zero manual work.

  Scalable – audit single pages or entire website portfolios effortlessly.

  Customizable – pre-built functions and templates ready for extension or integration with your systems.

  Professional HTML report – visually appealing and packed with actionable insights for your team or clients.

  How to get started?
  Set up your Google PageSpeed and DeepSeek API keys.

  Connect them within n8n – no extra steps needed!

  Run the workflow and receive a detailed SEO audit report that will help you improve rankings and boost traffic.

  Automate your SEO audits with n8n – faster, easier, and more effective than ever before!

  I recorded video:
  https://www.youtube.com/watch?v=solB17pXYbc


  If you want, I can also prepare a shorter marketing snippet or social media posts. Just let me know: jacobmarketingservice@gmail.com

nodes_used:
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name: Auto-Generate Problem-Focused Blog Posts for Shopify Products with AI
author_name: Khairul Muhtadin
author_username: khmuhtadin
categories: []
created_at: 2025-06-21T16:51:32.577Z
updated_at: 2025-06-21T16:51:32.577Z
url: https://n8n.io/workflows/5107
scraped_at: 2025-12-24 13:02:45
description:
  This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 

  AI Blog Automation for Shopify is a n8n workflow that automatically transforms your Shopify products into engaging, problem-focused blog posts.

  Say goodbye to spending 5+ hours per article – this workflow generates SEO-optimized content that addresses customer pain points, not just product features.



  🎯 Who is this for?
  E-commerce store owners** wanting consistent content marketing without the time investment.
  Dropshipping entrepreneurs** with frequent product launches needing automated blog content.
  Shopify merchants** who know blogging drives traffic but lack writing resources.
  Content marketers** seeking scalable, cost-effective blog automation.

  🚨 Problem Solved
  Creating quality blog content is time-consuming and expensive. Most store owners either skip blogging entirely or burn out after a few posts. This workflow solves it by:
  Automatically generating problem-first content (not salesy product descriptions).
  Creating stunning AI-generated hero images for each post.
  Publishing directly to your Shopify blog with proper SEO formatting.
  Costing only $0.05-0.15 per post vs. $200+ for professional writers.

  ⚙️ What This Workflow Does

  | Feature | Description |
  |---------|-------------|
  | Triggers | - Manual execution for existing products- Automatic trigger when new products are created |
  | Analyzes Products | Uses LangChain + OpenAI to:- Identify core problems the product solves- Analyze customer pain points- Generate problem-focused angles |
  | Creates Content | GPT-4o-mini generates 1000-1500 word articles:- Problem-first approach (not product-first)- SEO-optimized structure- Natural product integration- Soft call-to-actions |
  | Generates Images | DALL-E 3 creates blog hero images:- Matches blog theme (not just product)- Brand-consistent styling- Mobile-optimized dimensions |
  | Hosts Images | Uploads to ImgBB (free CDN):- No expiration- Fast global delivery- Direct URL integration |
  | Publishes | Posts directly to Shopify blog:- Proper HTML formatting- SEO meta descriptions- Relevant tags- Mobile-responsive images |

  🚀 Setup Instructions

  🔐 Credentials Needed
  Shopify Access Token API** (with read_products, write_content, read_content scopes)
  OpenAI API** (for content + image generation)
  ImgBB API** (free image hosting)

  🔧 Shopify Configuration
  Create private app in Shopify admin
  Enable required API scopes:
    read_products - Read product data
    write_content - Create blog posts  
    read_content - Access blog configuration
  Copy access token (starts with shpat_)

  🧩 Node Setup
  Manual Trigger** — For on-demand execution
  Shopify Trigger** — Auto-runs on product creation
  Shopify Node** — Fetches product data
  LangChain + OpenAI** — Generates problem-focused content
  Structured Output Parser** — Formats AI response
  HTTP Request** — Retrieves blog configuration
  DALL-E Node** — Creates hero images
  ImgBB Upload** — Hosts images on free CDN
  GraphQL Mutation** — Publishes to Shopify blog

  🛠️ Customization Tips

  | Feature | How to Customize |
  |---------|------------------|
  | Content Length | Adjust word count in AI Content Generator prompt |
  | Image Style | Modify DALL-E prompt for brand colors/aesthetics |
  | Author Name | Change author field in Publish Blog Article node |
  | Blog Selection | Update blog ID to target specific Shopify blog |
  | Publishing | Set isPublished: false to save as drafts |
  | Brand Voice | Customize tone and style in content prompts |

  📦 Pre-Requirements
  n8n instance (Cloud or self-hosted)** (Cloud/Self-hosted)
  Install: @n8n/n8n-nodes-langchain
  Shopify private app** with proper scopes
  OpenAI account** with billing enabled
  ImgBB account** (free)

  🔧 Nodes Used
  Manual Trigger
  Shopify Trigger
  Shopify
  LangChain LLM
  OpenAI Chat Model
  Structured Output Parser
  HTTP Request
  OpenAI (DALL-E)
  Wait

  ✅ Test the Workflow
  Import workflow and configure all credentials.
  Update store URLs and API tokens.
  Run manually or add a new product to trigger automatically.
  Check your Shopify blog for the new problem-focused post!

  💰 Expected Results
  Time Saved**: 5+ hours per blog post
  Cost**: $0.10-0.20 per post (vs. $200+ for writers)
  Traffic**: 40-60% increase within 3 months (typical)
  Content Quality**: Problem-focused, not salesy
  Made by: Khaisa Studio
  Tags: shopify, blog, automation, ai, content-marketing, seo
  Category: E-commerce Automation, Content Marketing
  Need customization? contact me on LinkedIn or Web

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name: AI Video Summarization with VLM Run - Automated Content Analysis for Teams
author_name: Mirajul Mohin
author_username: mohinmirajul
categories: []
created_at: 2025-06-21T19:09:19.252Z
updated_at: 2025-06-21T19:09:19.252Z
url: https://n8n.io/workflows/5108
scraped_at: 2025-12-24 13:02:44
description:
  This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 

  Automatically transform your video uploads into AI-powered summaries with key topic extraction and instant team notifications.

  What this workflow does

  Monitors Google Drive for new video uploads
  Downloads and processes videos using VLM Run AI
  Generates intelligent summaries with key topics extracted
  Posts results to Slack for immediate team access

  Setup

  Prerequisites: Google Drive account, VLM Run API credentials, Slack workspace, self-hosted n8n.

  You need to install VLM Run community node

  Quick Setup:
  Configure Google Drive OAuth2 and create video upload folder
  Add VLM Run API credentials
  Set up Slack integration for notifications
  Update folder/channel IDs in workflow nodes
  Test and activate

  Perfect for

  Meeting recordings and training videos
  Webinar summaries and educational content
  Content analysis and team collaboration
  Any video content requiring quick insights

  Key Benefits

  Asynchronous processing** handles large files without timeouts
  Multi-format support** for MP4, AVI, MOV, WebM, MKV
  Instant team updates** via Slack notifications
  Saves hours** of manual video review time

  How to customize

  Extend by adding:
  Video categorization and tagging
  Integration with project management tools
  Email notifications alongside Slack
  Searchable video databases with summaries

  This workflow transforms lengthy videos into actionable insights, making your content instantly accessible and shareable with your team.

nodes_used:
  ["n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@vlm-run/n8n-nodes-vlmrun.vlmRun","n8n-nodes-base.googleDriveTrigger","n8n-nodes-base.googleDrive","n8n-nodes-base.webhook","n8n-nodes-base.slack"]

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name: Forex, Crypto, Mergers and Financial Markets AI Analyst Updates to Telegram
author_name: Malik Hashir
author_username: malikx
categories: []
created_at: 2025-06-21T20:31:17.703Z
updated_at: 2025-06-21T20:31:17.703Z
url: https://n8n.io/workflows/5109
scraped_at: 2025-12-24 13:02:46
description:
  Purpose & Audience:
  This workflow is designed for active traders, financial analysts, and market enthusiasts who want to stay informed about high-impact market news without information overload. It targets users interested in Forex, Crypto, Mergers, and general market-moving geopolitical news delivered directly to their Telegram channels or personal chats.

  What It Does:
  The workflow fetches the latest market news from Finnhub’s API filtered by categories like forex, crypto, mergers, and general financial news. It then formats the news into clear, concise Telegram messages and sends updates on a schedule you choose — every hour, every 4 hours, or daily. This keeps traders focused on relevant, actionable news and avoids clutter from irrelevant updates.

  How to Set Up:
  Sign up for a free account at Finnhub.io and obtain your API key.
  Create a Telegram bot (using @botfather and get api key) and get your chat ID for the group or personal chat where you want to receive updates.
  Import this workflow into your n8n instance.
  Enter your Finnhub API key (copy from finhubb) and connect Telegram (using telegram bot api key) in their respective  nodes. Step by step guide is included in the sticky notes.
  Configure the schedule trigger node to run at your preferred interval (hourly, 4-hourly, or daily).
  Activate the workflow and start receiving curated market news updates on Telegram.

  Why Use This Workflow:
  Simple and quick to set up (under 2 minutes).
  Filters out noise, delivering only high-impact market news.
  Keeps traders informed without distraction.
  Fully customizable schedule to fit your trading routine.
  Leverages reliable Finnhub data and Telegram’s instant messaging.

nodes_used:
  ["n8n-nodes-base.set","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.httpRequest","n8n-nodes-base.telegram","n8n-nodes-base.telegram","n8n-nodes-base.stickyNote"]

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name: Create & Upload AI-Generated ASMR YouTube Shorts with Seedance, Fal AI, and GPT-4
author_name: Bilel Aroua
author_username: bilsimaging
categories: []
created_at: 2025-06-21T22:27:33.109Z
updated_at: 2025-06-21T22:27:33.109Z
url: https://n8n.io/workflows/5110
scraped_at: 2025-12-24 13:02:41
description:
  //ASMR AI Workflow 
  Who is this for?

  Content Creators, YouTube Automation Enthusiasts, and AI Hobbyists looking to autonomously generate and publish unique, satisfying ASMR-style YouTube Shorts without manual effort.

  What problem does this solve?

  This workflow solves the creative bottleneck and time-consuming nature of daily content creation. It fully automates the entire production pipeline, from brainstorming trendy ideas to publishing a finished video, turning your n8n instance into a 24/7 content factory.

  What this workflow does

  1. Two-Stage AI Ideation & Planning:
  Uses an initial AI agent to brainstorm a short, viral ASMR concept based on current trends.
  A second "Planning" AI agent then takes this concept and expands it into a detailed, structured production plan, complete with a viral-optimized caption, hashtags, and descriptions for the environment and sound.

  2. Multi-Modal Asset Generation:
  Video:* Feeds detailed scene prompts to the *ByteDance Seedance** text-to-video model (via Wavespeed AI) to generate high-quality video clips.
  Audio:* Simultaneously calls the *Fal AI** text-to-audio model to create custom, soothing ASMR sound effects that match the video's theme.
  Assembly:** Automatically sequences the video clips and sound into a single, cohesive final video file using an FFMPEG API call.

  3. Closed-Loop Publishing & Logging:
  Logging:** Initially logs the new idea to a Google Sheet with a status of "In Progress".
  Publishing:** Automatically uploads the final, assembled video directly to your YouTube channel, setting the title and description from the AI's plan.
  Updating:** Finds the original row in the Google Sheet and updates its status to "Done", adding a direct link to the newly published YouTube video.
  Notifications:** Sends real-time alerts to Telegram and/or Gmail with the video title and link, confirming the successful publication.

  Setup

  Credentials:
  You will need to create credentials in your n8n instance for the following services:
  OpenAI API
  Wavespeed AI API (for Seedance)
  Fal AI API
  Google OAuth Credential (enable YouTube Data API v3 and Google Sheets API in your Google Cloud Project)
  Telegram Bot Credential
  (Optional) Gmail OAuth Credential

  Configuration:
  This is an advanced workflow. The initial setup should take approximately 15-20 minutes.
  Google Sheet:* Create a Google Sheet with these columns: idea, caption, production_status, youtube_url. Add the *Sheet ID** to the Google Sheets nodes in the workflow.
  Node Configuration:** In the Telegram Notification node, enter your own Chat ID. In the Gmail Notification node, update the recipient email address.
  Activate:** Once configured, save and set the workflow to "Active" to let it run on its schedule.

  How to customize

  Creative Direction:* To change the style or theme of the videos (e.g., from kinetic sand to soap cutting), simply edit the systemMessage in the *"2. Enrich Idea into Plan"* and *"Prompts AI Agent"** nodes.

  Initial Ideas:* To influence the AI's starting concepts, modify the prompt in the *"1. Generate Trendy Idea"** node.
  Video & Sound:* To change the video duration or sound style, adjust the parameters in the *"Create Clips"* and *"Create Sounds"** nodes.
  Notifications:* Add or remove notification channels (like Slack or Discord) after the *"Upload to YouTube"** node.

nodes_used:
  ["n8n-nodes-base.code","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.wait","n8n-nodes-base.code","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.wait","@n8n/n8n-nodes-langchain.toolThink","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.outputParserStructured","n8n-nodes-base.scheduleTrigger","@n8n/n8n-nodes-langchain.outputParserStructured","n8n-nodes-base.httpRequest","n8n-nodes-base.wait","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.youTube","n8n-nodes-base.telegram","@n8n/n8n-nodes-langchain.lmChatOpenAi","n8n-nodes-base.gmail","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.googleSheets","n8n-nodes-base.googleSheets","n8n-nodes-base.googleSheets"]

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name: Create Adaptive RAG Chat Agent with Google Gemini and Qdrant
author_name: Brandon Crenshaw
author_username: brandononchain
categories: []
created_at: 2025-06-22T04:11:54.325Z
updated_at: 2025-06-22T04:11:54.325Z
url: https://n8n.io/workflows/5111
scraped_at: 2025-12-24 13:02:41
description:
  Unlock adaptive, context-aware AI chat in your automations—no coding required!

  This template is a plug-and-play n8n workflow that transforms how your chatbots, support agents, and knowledge systems respond to users. Powered by Google Gemini and a Qdrant vector database, it automatically classifies every incoming query and applies a tailor-made strategy for Factual, Analytical, Opinion, or Contextual requests—delivering the right answer, every time.

  🛠️ Key Features
  Automatic Query Classification:
  Seamlessly detects whether the user wants facts, a deep analysis, opinions, or context—then routes each input to the best answering strategy.

  Four Dynamic Retrieval Modes:
  1) Factual: Delivers precise, accurate information
  2) Analytical: Breaks down complex topics for deep dives
  3) Opinion: Surfaces diverse viewpoints and perspectives
  4) Contextual: Connects the dots using implied or user-specific context

  End-to-End RAG Pipeline:
  Uses Gemini to classify and answer, while Qdrant powers fast, smart knowledge retrieval.

  No-Code Visual Editing:
  Import into n8n, connect your LLM and vector database credentials, and you’re live—customize, extend, and scale with zero backend code.

  Reusable in Any Project:
  Perfect for customer support, research, onboarding bots, internal knowledgebases, or any adaptive AI chat interface.

  🚀 How it Works
  1) User submits a query (via chat or API)
  2) Query is auto-classified as Factual, Analytical, Opinion, or Contextual
  3) Adaptive retrieval strategy is triggered
  (each with its own prompt logic and memory buffer)
  4) Smart knowledge search is performed using Gemini and Qdrant
  5) Response is generated and sent back to the user—tailored to the query type!

  🧩 What’s Included
  Full n8n workflow (.json)
  Step-by-step setup instructions
  Sample prompts and system messages for each strategy
  Lifetime updates (as the workflow evolves)

  💡 Use Cases
  Chatbots that adapt to every user’s intent
  Internal/external FAQ and helpdesk automations
  AI research and summarization agents
  Product support and onboarding flows

  Any scenario where smarter, more relevant answers = better user experience

  Ready to build smarter automations? Import this template, connect your Gemini & Qdrant accounts, and let your AI agent adapt to every conversation.

nodes_used:
  ["@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.switch","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.chatTrigger","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.memoryBufferWindow","@n8n/n8n-nodes-langchain.memoryBufferWindow","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.memoryBufferWindow","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.memoryBufferWindow","@n8n/n8n-nodes-langchain.embeddingsGoogleGemini","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.summarize","@n8n/n8n-nodes-langchain.vectorStoreQdrant","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.memoryBufferWindow","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.respondToWebhook","n8n-nodes-base.stickyNote","n8n-nodes-base.executeWorkflowTrigger","n8n-nodes-base.set","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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name: 🛠️ Paddle Tool MCP Server 💪 all 9 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T04:25:45.799Z
updated_at: 2025-06-22T04:25:45.799Z
url: https://n8n.io/workflows/5112
scraped_at: 2025-12-24 13:02:46
description:
  Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?

  Join the community

  Complete MCP server exposing all Paddle Tool operations to AI agents. Zero configuration needed - all 9 operations pre-built.

  ⚡ Quick Setup

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Paddle Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Paddle Tool tool with full error handling

  📋 Available Operations (9 total)

  Every possible Paddle Tool operation is included:

  🔧 Coupon (3 operations)

  • Create a coupon
  • Get many coupons
  • Update a coupon

  🔧 Payment (2 operations)

  • Get many payments
  • Reschedule a payment

  🔧 Plan (2 operations)

  • Get a plan
  • Get many plans

  🔧 Product (1 operations)

  • Get many products

  👤 User (1 operations)

  • Get many users

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Paddle Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Paddle Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.paddleTool","n8n-nodes-base.paddleTool","n8n-nodes-base.paddleTool","n8n-nodes-base.stickyNote","n8n-nodes-base.paddleTool","n8n-nodes-base.paddleTool","n8n-nodes-base.stickyNote","n8n-nodes-base.paddleTool","n8n-nodes-base.paddleTool","n8n-nodes-base.stickyNote","n8n-nodes-base.paddleTool","n8n-nodes-base.stickyNote","n8n-nodes-base.paddleTool","n8n-nodes-base.stickyNote"]

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name: 🛠️ Oura Tool MCP Server 💪 all 4 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T04:38:46.254Z
updated_at: 2025-06-22T04:38:46.254Z
url: https://n8n.io/workflows/5113
scraped_at: 2025-12-24 13:02:46
description:
  Complete MCP server exposing all Oura Tool operations to AI agents. Zero configuration needed - all 4 operations pre-built.

  ⚡ Quick Setup

  Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?

  Join the community

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Oura Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Oura Tool tool with full error handling

  📋 Available Operations (4 total)

  Every possible Oura Tool operation is included:

  🔧 Profile (1 operations)

  • Get a profile

  🔧 Summary (3 operations)

  • Get activity summary
  • Get readiness summary
  • Get sleep summary

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Oura Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Oura Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.ouraTool","n8n-nodes-base.stickyNote","n8n-nodes-base.ouraTool","n8n-nodes-base.ouraTool","n8n-nodes-base.ouraTool","n8n-nodes-base.stickyNote"]

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name: 🛠️ Onfleet Tool MCP Server 💪 all 37 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T04:56:31.007Z
updated_at: 2025-06-22T04:56:31.007Z
url: https://n8n.io/workflows/5114
scraped_at: 2025-12-24 13:02:46
description:
  Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?

  Join the community

  Complete MCP server exposing all Onfleet Tool operations to AI agents. Zero configuration needed - all 37 operations pre-built.

  ⚡ Quick Setup

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Onfleet Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Onfleet Tool tool with full error handling

  📋 Available Operations (37 total)

  Every possible Onfleet Tool operation is included:

  🔧 Admin (4 operations)

  • Create an admin
  • Delete an admin
  • Get many admins
  • Update an admin

  🔧 Container (3 operations)

  • Add tasks
  • Get a container
  • Update tasks

  🔧 Destination (2 operations)

  • Create a destination
  • Get a destination

  🔧 Hub (3 operations)

  • Create a hub
  • Get many hubs
  • Update a hub

  🏢 Organization (2 operations)

  • Get my organization
  • Get a delegatee's details

  🔧 Recipient (3 operations)

  • Create a recipient
  • Get a recipient
  • Update a recipient

  🔧 Task (7 operations)

  • Clone a task
  • Complete a task
  • Create a task
  • Delete a task
  • Get a task
  • Get many tasks
  • Update a task

  🔧 Team (7 operations)

  • Auto-dispatch a team
  • Create a team
  • Delete a team
  • Get a team
  • Get many teams
  • Get time estimates for a team
  • Update a team

  🔧 Worker (6 operations)

  • Create a worker
  • Delete a worker
  • Get a worker
  • Get many workers
  • Get the schedule for a worker
  • Update a worker

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Onfleet Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Onfleet Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.stickyNote","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.stickyNote","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.stickyNote","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.stickyNote","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.stickyNote","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.stickyNote","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.stickyNote","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.stickyNote","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.onfleetTool","n8n-nodes-base.stickyNote"]

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name: 🛠️ NocoDB Tool MCP Server 💪 all 5 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T04:59:58.836Z
updated_at: 2025-06-22T04:59:58.836Z
url: https://n8n.io/workflows/5115
scraped_at: 2025-12-24 13:02:46
description:
  Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?

  Join the community

  Complete MCP server exposing all NocoDB Tool operations to AI agents. Zero configuration needed - all 5 operations pre-built.

  ⚡ Quick Setup

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every NocoDB Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n NocoDB Tool tool with full error handling

  📋 Available Operations (5 total)

  Every possible NocoDB Tool operation is included:

  🔧 Row (5 operations)

  • Create a row
  • Delete a row
  • Get a row
  • Get many rows
  • Update a row

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native NocoDB Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every NocoDB Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.nocoDbTool","n8n-nodes-base.nocoDbTool","n8n-nodes-base.nocoDbTool","n8n-nodes-base.nocoDbTool","n8n-nodes-base.nocoDbTool","n8n-nodes-base.stickyNote"]

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name: 🛠️ Nextcloud Tool MCP Server 💪 all 17 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T05:03:11.588Z
updated_at: 2025-06-22T05:03:11.588Z
url: https://n8n.io/workflows/5116
scraped_at: 2025-12-24 13:02:46
description:
  Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?

  Join the community

  Complete MCP server exposing all Nextcloud Tool operations to AI agents. Zero configuration needed - all 17 operations pre-built.

  ⚡ Quick Setup

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Nextcloud Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Nextcloud Tool tool with full error handling

  📋 Available Operations (17 total)

  Every possible Nextcloud Tool operation is included:

  📄 File (6 operations)

  • Copy a file
  • Delete a file
  • Download a file
  • Move a file
  • Share a file
  • Upload a file

  📁 Folder (6 operations)

  • Copy a folder
  • Create a folder
  • Delete a folder
  • List a folder
  • Move a folder
  • Share a folder

  👤 User (5 operations)

  • Create a user
  • Delete a user
  • Get a user
  • Get many users
  • Update a user

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Nextcloud Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Nextcloud Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.stickyNote","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.stickyNote","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.nextCloudTool","n8n-nodes-base.stickyNote"]

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name: 🛠️ Netlify Tool MCP Server 💪 all 7 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T05:07:34.899Z
updated_at: 2025-06-22T05:07:34.899Z
url: https://n8n.io/workflows/5117
scraped_at: 2025-12-24 13:02:46
description:
  Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?

  Join the community

  Complete MCP server exposing all Netlify Tool operations to AI agents. Zero configuration needed - all 7 operations pre-built.

  ⚡ Quick Setup

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Netlify Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Netlify Tool tool with full error handling

  📋 Available Operations (7 total)

  Every possible Netlify Tool operation is included:

  🔧 Deploy (4 operations)

  • Cancel a deployment
  • Create a deployment
  • Get a deployment
  • Get many deployments

  🔧 Site (3 operations)

  • Delete a site
  • Get a site
  • Get many sites

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Netlify Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Netlify Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.netlifyTool","n8n-nodes-base.netlifyTool","n8n-nodes-base.netlifyTool","n8n-nodes-base.netlifyTool","n8n-nodes-base.stickyNote","n8n-nodes-base.netlifyTool","n8n-nodes-base.netlifyTool","n8n-nodes-base.netlifyTool","n8n-nodes-base.stickyNote"]

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name: 🛠️ NASA Tool MCP Server 💪 all 15 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T05:34:16.319Z
updated_at: 2025-06-22T05:34:16.319Z
url: https://n8n.io/workflows/5118
scraped_at: 2025-12-24 13:02:46
description:
  🛠️ NASA Tool MCP Server

  Complete MCP server exposing all NASA Tool operations to AI agents. Zero configuration needed - all 15 operations pre-built.

  ⚡ Quick Setup

  Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?

  Join the community

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every NASA Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n NASA Tool tool with full error handling

  📋 Available Operations (15 total)

  Every possible NASA Tool operation is included:

  🔧 Asteroidneobrowse (1 operations)

  • Get many asteroid neos

  🔧 Asteroidneofeed (1 operations)

  • Get an asteroid neo feed

  🔧 Asteroidneolookup (1 operations)

  • Get an asteroid neo lookup

  🔧 Astronomypictureoftheday (1 operations)

  • Get the astronomy picture of the day

  🔧 Donkicoronalmassejection (1 operations)

  • Get a DONKI coronal mass ejection

  🔧 Donkihighspeedstream (1 operations)

  • Get a DONKI high speed stream

  🔧 Donkiinterplanetaryshock (1 operations)

  • Get a DONKI interplanetary shock

  🔧 Donkimagnetopausecrossing (1 operations)

  • Get a DONKI magnetopause crossing

  🔧 Donkinotifications (1 operations)

  • Get a DONKI notifications

  🔧 Donkiradiationbeltenhancement (1 operations)

  • Get a DONKI radiation belt enhancement

  🔧 Donkisolarenergeticparticle (1 operations)

  • Get a DONKI solar energetic particle

  🔧 Donkisolarflare (1 operations)

  • Get a DONKI solar flare

  🔧 Donkiwsaenlilsimulation (1 operations)

  • Get a DONKI wsa enlil simulation

  🔧 Earthassets (1 operations)

  • Get Earth assets

  🔧 Earthimagery (1 operations)

  • Get Earth imagery

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native NASA Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every NASA Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
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name: 🛠️ Monica CRM Tool MCP Server 💪 all 52 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T05:38:54.417Z
updated_at: 2025-06-22T05:38:54.417Z
url: https://n8n.io/workflows/5119
scraped_at: 2025-12-24 13:02:46
description:
  Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?

  Join the community

  Complete MCP server exposing all Monica CRM Tool operations to AI agents. Zero configuration needed - all 52 operations pre-built.

  ⚡ Quick Setup

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Monica CRM Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Monica CRM Tool tool with full error handling

  📋 Available Operations (52 total)

  Every possible Monica CRM Tool operation is included:

  🔧 Activity (5 operations)

  • Create an activity
  • Delete an activity
  • Get an activity
  • Get many activities
  • Update an activity

  🔧 Call (5 operations)

  • Create a call
  • Delete a call
  • Get a call
  • Get many calls
  • Update a call

  📇 Contact (5 operations)

  • Create a contact
  • Delete a contact
  • Get a contact
  • Get many contacts
  • Update a contact

  🔧 Contactfield (4 operations)

  • Create a contact field
  • Delete a contact field
  • Get a contact field
  • Update a contact field

  🔧 Contacttag (2 operations)

  • Add a tag to a contact
  • Remove a tag from a contact

  🔧 Conversation (4 operations)

  • Create a conversation
  • Delete a conversation
  • Get a conversation
  • Update a conversation

  🔧 Conversationmessage (2 operations)

  • Add a message to a conversation
  • Update a message in a conversation

  🔧 Journalentry (5 operations)

  • Create a journal entry
  • Delete a journal entry
  • Get a journal entry
  • Get many journal entries
  • Update a journal entry

  🔧 Note (5 operations)

  • Create a note
  • Delete a note
  • Get a note
  • Get many notes
  • Update a note

  🔧 Reminder (5 operations)

  • Create a reminder
  • Delete a reminder
  • Get a reminder
  • Get many reminders
  • Update a reminder

  🏷️ Tag (5 operations)

  • Create a tag
  • Delete a tag
  • Get a tag
  • Get many tags
  • Update a tag

  🔧 Task (5 operations)

  • Create a task
  • Delete a task
  • Get a task
  • Get many tasks
  • Update a task

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Monica CRM Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Monica CRM Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
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name: 🛠️ Monday.com Tool MCP Server 💪 all 18 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T05:41:28.785Z
updated_at: 2025-06-22T05:41:28.785Z
url: https://n8n.io/workflows/5120
scraped_at: 2025-12-24 13:02:46
description:
  Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?

  Join the community

  Complete MCP server exposing all Monday.com Tool operations to AI agents. Zero configuration needed - all 18 operations pre-built.

  ⚡ Quick Setup

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Monday.com Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Monday.com Tool tool with full error handling

  📋 Available Operations (18 total)

  Every possible Monday.com Tool operation is included:

  🔧 Board (4 operations)

  • Archive a board
  • Create a board
  • Get a board
  • Get many boards

  🔧 Boardcolumn (2 operations)

  • Create a board column
  • Get many board columns

  🔧 Boardgroup (3 operations)

  • Delete a board group
  • Create a board group
  • Get many board groups

  🔧 Boarditem (9 operations)

  • Add an update to an item
  • Change a column value for a board item
  • Change multiple column values for a board item
  • Create an item in a board's group
  • Delete an item
  • Get an item
  • Get items item by column value
  • Get many items
  • Move an item to a group

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Monday.com Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Monday.com Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
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name: 🛠️ Mocean Tool MCP Server 💪 both operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T05:43:27.164Z
updated_at: 2025-06-22T05:43:27.164Z
url: https://n8n.io/workflows/5121
scraped_at: 2025-12-24 13:02:46
description:
  Complete MCP server exposing all Mocean Tool operations to AI agents. Zero configuration needed - all 2 operations pre-built.

  ⚡ Quick Setup

  Need help? Want access to more workflows and even live Q&A sessions with a top verified n8n creator.. All 100% free?

  Join the community

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every Mocean Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n Mocean Tool tool with full error handling

  📋 Available Operations (2 total)

  Every possible Mocean Tool operation is included:

  🔧 Sms (1 operations)

  • Send an SMS

  🔧 Voice (1 operations)

  • Send an SMS

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native Mocean Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every Mocean Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
  ["n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.mcpTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.moceanTool","n8n-nodes-base.moceanTool"]

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name: 🛠️ MISP Tool MCP Server 💪 all 44 operations
author_name: David Ashby
author_username: cfomodz
categories: []
created_at: 2025-06-22T05:47:21.121Z
updated_at: 2025-06-22T05:47:21.121Z
url: https://n8n.io/workflows/5122
scraped_at: 2025-12-24 13:02:46
description:
  Need help? Want access to this workflow + many more paid workflows + live Q&A sessions with a top verified n8n creator?

  Join the community

  Complete MCP server exposing all MISP Tool operations to AI agents. Zero configuration needed - all 44 operations pre-built.

  ⚡ Quick Setup

  Import this workflow into your n8n instance
  Activate the workflow to start your MCP server
  Copy the webhook URL from the MCP trigger node
  Connect AI agents using the MCP URL

  🔧 How it Works

  • MCP Trigger: Serves as your server endpoint for AI agent requests
  • Tool Nodes: Pre-configured for every MISP Tool operation
  • AI Expressions: Automatically populate parameters via $fromAI() placeholders
  • Native Integration: Uses official n8n MISP Tool tool with full error handling

  📋 Available Operations (44 total)

  Every possible MISP Tool operation is included:

  🔧 Attribute (6 operations)

  • Create an attribute
  • Delete an attribute
  • Get an attribute
  • Get many attributes
  • Get a filtered list of attributes
  • Update an attribute

  📅 Event (8 operations)

  • Create an event
  • Delete an event
  • Get an event
  • Get many events
  • Publish an event
  • Get a filtered list of events
  • Unpublish an event
  • Update an event

  🔧 Eventtag (2 operations)

  • Add a tag to an event
  • Remove a tag from an event

  🔧 Feed (6 operations)

  • Create a feed
  • Disable a feed
  • Enable a feed
  • Get a feed
  • Get many feeds
  • Update a feed

  🔧 Galaxy (3 operations)

  • Delete a galaxy
  • Get a galaxy
  • Get many galaxies

  🔧 Noticelist (2 operations)

  • Get a noticelist
  • Get many noticelists

  🔧 Object (1 operations)

  • Get a filtered list of objects

  🔧 Organisation (5 operations)

  • Create an organization
  • Delete an organization
  • Get an organization
  • Get many organizations
  • Update an organization

  🏷️ Tag (4 operations)

  • Create a tag
  • Delete a tag
  • Get many tags
  • Update a tag

  👤 User (5 operations)

  • Create a user
  • Delete a user
  • Get a user
  • Get many users
  • Update a user

  🔧 Warninglist (2 operations)

  • Get a warninglist
  • Get many warninglists

  🤖 AI Integration

  Parameter Handling: AI agents automatically provide values for:
  • Resource IDs and identifiers
  • Search queries and filters
  • Content and data payloads
  • Configuration options

  Response Format: Native MISP Tool API responses with full data structure

  Error Handling: Built-in n8n error management and retry logic

  💡 Usage Examples

  Connect this MCP server to any AI agent or workflow:

  • Claude Desktop: Add MCP server URL to configuration
  • Custom AI Apps: Use MCP URL as tool endpoint
  • Other n8n Workflows: Call MCP tools from any workflow
  • API Integration: Direct HTTP calls to MCP endpoints

  ✨ Benefits

  • Complete Coverage: Every MISP Tool operation available
  • Zero Setup: No parameter mapping or configuration needed
  • AI-Ready: Built-in $fromAI() expressions for all parameters
  • Production Ready: Native n8n error handling and logging
  • Extensible: Easily modify or add custom logic

  &gt; 🆓 Free for community use! Ready to deploy in under 2 minutes.

nodes_used:
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name: Automated AWS IAM Key Compromise Response with Slack & Claude AI
author_name: Niranjan G
author_username: niranjan
categories: []
created_at: 2025-06-22T07:43:25.214Z
updated_at: 2025-06-22T07:43:25.214Z
url: https://n8n.io/workflows/5123
scraped_at: 2025-12-24 13:02:43
description:
  🛡️ Automated AWS Key Compromise Remediation

  Description

  This n8n workflow provides a secure, enterprise-grade response system for AWS IAM access key compromises with built-in form submission and human approval mechanisms. When an AWS access key is suspected to be compromised, this workflow enables rapid containment through a secure web form interface with basic authentication, human approval via Slack, and automated damage prevention through immediate key deactivation, credential invalidation, and comprehensive security reporting.

  How This Workflow is Useful

  Secure Form-Based Response
  Authenticated Form Submission**: Secure web form with basic authentication for capturing compromise details
  Human Approval Workflow**: Slack-based approval system for sensitive security operations
  Rapid Key Deactivation**: Instantly disables compromised access keys after approval
  Credential Invalidation**: Creates and applies security policies to invalidate existing temporary credentials
  Policy Analysis**: Automatically scans and analyzes both inline and attached IAM policies for the affected user
  AI-Powered Reporting**: Generates detailed security reports with intelligent analysis and team notifications

  Business Value
  Reduces Mean Time to Response (MTTR)**: Automates manual security procedures that typically take hours
  Minimizes Security Exposure**: Immediate containment prevents potential data breaches and unauthorized resource access
  Ensures Compliance**: Provides audit trails and documentation required for security compliance frameworks
  Cost Prevention**: Prevents potential financial damage from compromised credentials being used maliciously
  Rapid Response Capability**: Streamlines security response procedures when incidents are detected

  Technical Benefits
  AWS Best Practices**: Implements official AWS security recommendations for key compromise response
  Scalable Architecture**: Handles multiple access keys and complex IAM policy structures
  Error Handling**: Robust error handling ensures workflow continues even if individual steps fail
  Audit Trail**: Complete logging of all actions taken during the incident response
  Integration Ready**: Easily integrates with existing security tools and notification systems

  Use Cases

  1. Incident Response Automation
  Automated response to security alerts from AWS CloudTrail
  Integration with SIEM systems for immediate key compromise response
  24/7 security monitoring and automated containment

  2. Compliance and Audit
  Meeting regulatory requirements for incident response documentation
  Providing audit trails for security compliance frameworks (SOC 2, ISO 27001, PCI DSS)
  Demonstrating due diligence in security incident handling

  3. Multi-Account Management
  Centralized security response across multiple AWS accounts
  Consistent incident response procedures across different environments
  Standardized security automation for enterprise AWS deployments

  4. Security Training and Testing
  Security team training on AWS incident response procedures
  Tabletop exercises and security drills
  Testing and validation of security response capabilities

  Key Features

  Core Functionality
  ✅ Secure Form Interface: Web form with basic authentication for secure data submission
  ✅ Human Approval Gate: Slack-based approval workflow for sensitive operations
  ✅ Authenticated Data Processing: Secure handling of form submissions with validation
  ✅ Immediate Key Deactivation: Instant disabling of compromised credentials after approval
  ✅ Security Policy Generation: Automatic creation and attachment of credential invalidation policies
  ✅ Policy Analysis: Deep analysis of user permissions and attached policies
  ✅ AI Security Analysis: Intelligent security report generation with risk assessment
  ✅ Team Notifications: Real-time Slack notifications to security teams
  ✅ Comprehensive Logging: Complete audit trail of all response actions

  Technical Specifications
  Secure Form Interface**: Web form with basic authentication for secure data capture
  Human Approval System**: Slack-based approval workflow for sensitive operations
  AWS API Integration**: Direct integration with AWS IAM APIs
  Authentication Layer**: Basic auth protection for form submissions
  Error Handling**: Robust error handling with continuation on non-critical failures
  Scalable Processing**: Handles multiple policies and complex IAM structures
  Security Best Practices**: No hardcoded credentials, uses AWS credential management
  Modular Design**: Easy to customize and extend for specific organizational needs

  Prerequisites

  Required Credentials
  AWS Credentials** with IAM permissions for:
    ListAccessKeys, UpdateAccessKey
    ListUserPolicies, ListAttachedUserPolicies
    CreatePolicy, AttachUserPolicy
    GetPolicy, GetPolicyVersion, GetUserPolicy

  Required Integrations
  Slack Workspace** for approval workflow and team notifications
  Basic Authentication Setup** for secure form access

  Optional Integrations
  AI Language Model** (Claude/OpenAI) for intelligent security analysis and report generation

  Installation and Setup

  Import the workflow into your n8n instance
  Configure AWS credentials in n8n credential manager
  Set up basic authentication for the secure form interface
  Configure Slack integration for approval notifications and team alerts
  Set up AI model (optional) for enhanced security analysis and reporting
  Configure approval workflow in Slack for human oversight
  Test in development environment before production use

  Workflow Inputs

  Secure Form Submission
  This workflow uses a secure web form with basic authentication to capture compromise details:
  Username**: The AWS IAM username of the compromised account
  Access Key ID**: The specific access key ID that has been compromised

  Authentication & Approval Process
  Form Authentication: Basic authentication protects the submission form
  Data Processing: Secure handling and validation of submitted credentials
  Human Approval: Slack notification sent to security team for approval
  Automated Execution: Upon approval, the workflow executes the security response

  This multi-layered approach ensures that sensitive security operations require both authentication and human oversight before execution.

  🚀 Automate with Slack Integration

  Want to fully automate and simplify this workflow? Connect it with Slack for seamless team collaboration and instant response capabilities!

  Interactive Slack Automation
  Combine this AWS Key Compromise Response workflow with our Interactive Slack Approval & Data Submission System to create a fully automated incident response pipeline:

  Instant Slack Alerts**: Receive immediate notifications when key compromises are detected
  One-Click Response**: Trigger the AWS response workflow directly from Slack with interactive buttons
  Team Collaboration**: Enable security teams to respond collectively through Slack channels
  Approval Workflows**: Add human approval gates before executing critical security actions
  Real-time Updates**: Get live status updates and completion notifications in Slack

  How the Complete Solution Works
  Detection: External security monitoring tools (CloudTrail, SIEM, etc.) detect potential key compromise
  Secure Form Access: Security team accesses the authenticated web form to submit compromise details
  Form Submission: Credentials are securely submitted through the basic auth-protected form
  Human Approval: Slack notification sent to security team for review and approval
  Approved Execution: Upon approval, the AWS security response executes automatically
  Real-time Updates: Progress and completion notifications sent back to Slack
  Security Analysis: AI-powered analysis and comprehensive reporting delivered to the team

  Get Started with Full Automation
  To enable automatic notifications and complete the automation pipeline, use the Interactive Slack Approval & Data Submission System with Webhooks workflow: https://n8n.io/workflows/5049-interactive-slack-approval-and-data-submission-system-with-webhooks/

  This integration transforms manual security responses into streamlined, team-collaborative automation that reduces response time from hours to minutes.

  Security Considerations

  Form Authentication**: Basic authentication protects the submission interface
  Human Approval Gate**: Slack-based approval prevents unauthorized execution
  AWS Credential Management**: Uses AWS credential management best practices
  No Sensitive Data Storage**: No sensitive data stored in workflow configuration
  Least-Privilege Access**: Implements least-privilege access principles
  Complete Audit Trails**: Provides complete audit trails for compliance
  Secure Data Processing**: Encrypted handling of form submissions and approvals
  Immediate Damage Prevention**: Designed for rapid containment after approval

  ⚠️ Important Disclaimer

  Use with Caution: Disabling access keys without proper understanding can significantly impact your personal or business operations. This workflow immediately deactivates AWS access keys, which may disrupt running applications, automated processes, or services that depend on these credentials.

  AWS Best Practices Recommendation: 
  Use IAM Roles instead of Access Keys** whenever possible for enhanced security
  IAM roles provide temporary credentials and eliminate the need for long-term access keys
  Follow the principle of least privilege when assigning permissions
  Regularly rotate and audit your AWS credentials
  Implement proper monitoring and alerting for credential usage

  Before Using This Workflow:
  Ensure you understand which services and applications use the target access key
  Have a rollback plan in case of accidental disruption
  Test in a non-production environment first
  Coordinate with your team before executing in production

  For comprehensive AWS security best practices, refer to the AWS Security Best Practices Guide.

  For more workflows and automation solutions, visit: https://n8n.io/creators/niranjan/

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name: Generate QR Codes from URLs with QR Server API and Downloadable Images
author_name: Rex Lui
author_username: rexlui
categories: []
created_at: 2025-06-22T08:35:25.306Z
updated_at: 2025-06-22T08:35:25.306Z
url: https://n8n.io/workflows/5124
scraped_at: 2025-12-24 13:02:44
description:
  Easily generate QR codes from any URL! This workflow lets users submit a URL via a simple form and instantly receive a downloadable QR code image—perfect for quick sharing or promotions. Setup is fast and user-friendly, so you’ll be up and running in minutes!

  🚀 How it works
  The end user submits a URL through a simple online form.
  The workflow automatically sends the submitted URL to a QR code generation API.
  The user receives a downloadable QR code image corresponding to their URL.

  ⚙️ Setup instruction
  Import Workflow: Click "Import from JSON" in your n8n environment and paste the provided workflow JSON.
  Click "Save" and activate the workflow.
  Double click the "On form submission" node to obtain the production URL.
  You may now use this URL to do QR code generation.

nodes_used:
  ["n8n-nodes-base.formTrigger","n8n-nodes-base.httpRequest","n8n-nodes-base.form","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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name: Auto-Publish Web Articles as Social Posts for X, LinkedIn, Reddit & Threads with Gemini AI
author_name: Juan Carlos Cavero Gracia
author_username: carlosgracia
categories: []
created_at: 2025-06-22T12:59:23.111Z
updated_at: 2025-06-22T12:59:23.111Z
url: https://n8n.io/workflows/5128
scraped_at: 2025-12-24 13:02:41
description:
  This workflow contains community nodes that are only compatible with the self-hosted version of n8n. 

  Description
  This automation template is designed for content curators, marketers, and anyone looking to supercharge their content sharing strategy. It transforms any web article, blog post, or news link into a series of platform-specific social media posts, generated by AI. It also captures a live screenshot of the webpage to use as the post image, automating the entire process of publishing them across X (Twitter), LinkedIn, Threads, and Reddit.

  Note: The default example is configured to share n8n templates, but this workflow can promote any web page, article, or news story. Just change the URL! The upload-post node only works for self-hosted n8n instances, but you can use the standard http node for uploading the content*

  Who Is This For?
  Content Curators & Marketers:** Effortlessly share valuable industry news and articles with tailored messages and visuals for each audience.
  Social Media Managers:** Keep your social feeds consistently active with relevant, high-quality content without the manual overhead.
  Community Builders & Brand Evangelists:** Quickly disseminate product updates, tutorials, and blog posts to your community on all relevant platforms.
  Professionals & Thought Leaders:** Build your personal brand by easily sharing insightful articles with automated visuals, adding your unique perspective.

  What Problem Does This Workflow Solve?
  Sharing a single piece of content across multiple social platforms is tedious. You need to manually write unique posts, create visuals, and then publish everything. This workflow addresses these challenges by:
  Automating Content Creation:** Uses a powerful AI agent (Google Gemini) to read any URL and write compelling, unique posts for each social network.
  Generating Visuals Automatically:** Captures a high-quality screenshot of the source webpage to use as a visually appealing image in your posts, increasing engagement.
  Ensuring Platform-Specific Tone:** The AI is instructed to generate professional posts for LinkedIn, concise threads for X, conversational updates for Threads, and community-focused posts for Reddit.
  One-Click Distribution:** Takes a single URL as input and handles the entire content creation and sharing process across multiple platforms automatically.

  How It Works
  Input a URL: In the "Set Input Data" node, simply paste the URL of the article or page you want to share.
  AI Analysis & Generation: The workflow sends the URL to the AI agent, which scrapes the content and generates four distinct, ready-to-publish posts.
  Screenshot Generation: At the same time, it uses the ScreenshotOne service to capture a high-quality image of the provided URL.
  Cross-Platform Publishing: The generated content and the screenshot are automatically sent to the corresponding nodes to be posted on X, LinkedIn, and Threads, while the text-only version is sent to Reddit.

  Setup
  AI Model Credentials: Add your Google Gemini API key to the Google Gemini Chat Model node to power the AI agent.
  Screenshot Service (ScreenshotOne): The workflow uses ScreenshotOne to generate images for your posts.
      Create a free account at screenshotone.com to get your own API key. The free plan includes 100 screenshots per month.
      In the Upload Post X, Upload Post LinkedIn, and Upload Post Threads nodes, go to the Photos parameter (under Additional Fields) and replace the existing access_key in the URL with your own.
  Upload-Post Account: This workflow uses upload-post.com for multi-platform posting.
      Create a free account at upload-post.com to get your API Token and User ID.
      Add the credentials in the Upload Post X, Upload Post LinkedIn, and Upload Post Threads nodes.
  Reddit Credentials: Connect your Reddit account using OAuth2 in the Reddit node to enable posting.
  Customize the AI: (Optional) Edit the prompt in the Social Media Agent node to match your content. The default prompt is optimized for sharing n8n templates, but you can easily adapt it for any topic to fit your brand's voice and style.

  Requirements
  Accounts:** n8n, Google (for Gemini API), ScreenshotOne, upload-post.com, Reddit.
  API Keys & Credentials:** Google Gemini API Key, ScreenshotOne API Key, Upload-post.com API Token & User ID, Reddit OAuth2 credentials.

  Use this template to become a content-sharing powerhouse, saving hours of work while increasing your reach and engagement across the web.

nodes_used:
  ["n8n-nodes-base.manualTrigger","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","n8n-nodes-base.httpRequestTool","@n8n/n8n-nodes-langchain.outputParserStructured","n8n-nodes-upload-post.uploadPost","n8n-nodes-upload-post.uploadPost","n8n-nodes-upload-post.uploadPost","n8n-nodes-base.reddit","n8n-nodes-base.wait","n8n-nodes-base.if"]

workflow_json_compressed:
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name: AI-Powered Accounting Reports from Sabre EDI with GPT-4 and Pinecone RAG
author_name: Mohan Gopal
author_username: mohan
categories: []
created_at: 2025-06-22T16:45:54.084Z
updated_at: 2025-06-22T16:45:54.084Z
url: https://n8n.io/workflows/5130
scraped_at: 2025-12-24 13:02:42
description:
  This workflow automates the process of reading EDI files generated by Sabre, parsing them using an AI Agent, and producing structured accounting reports like:

  📌 Accounts Receivable (AR) Summary
  📌 Tax and Surcharges Report

  It also uses Retrieval-Augmented Generation (RAG) to vectorize the Sabre Interface User Record (IUR)—a 154-page technical document—so that the AI agent can reference it when clarification is required while generating reports.

  ⚙️ Tools & Integrations Used
  Component:Tool/Service:Purpose:Workflow Engine:n8n:Automation & orchestration
  LLM Model:OpenAI GPT-4 / Chat Model:Natural language understanding and parsing
  Embeddings Model:OpenAI Embeddings:Convert text into semantic vector format
  Vector Database:Pinecone:Store and retrieve document chunks semantically
  Storage:Google Drive:Source of raw EDI text files and PDF documentation
  DataLoader + Splitter:n8n Node + Recursive Splitter:Loads and prepares documents for embedding
  AI Agents:n8n AI Agent Node:Runs context-aware prompts and parses reports

  🧱 Workflow Breakdown
  🧠 1. Vectorizing the Sabre IUR Document (RAG Setup)
  📘 Objective: Enable the AI Agent to refer to the IUR document (154 pages) for detailed explanations of EDI terms, formats, and rules.

  Flow Steps:

  Google Drive Search + Download – Find and pull the IUR PDF file.

  Default Data Loader – Load the file and preprocess it for semantic splitting.

  Recursive Character Splitter – Break down large pages into meaningful chunks.

  OpenAI Embeddings – Vectorize each chunk.

  Pinecone Vector Store – Save into a Pinecone namespace for future retrieval.

  ✅ Result: The IUR is now searchable via semantic queries from the AI Agent.

  📁 2. Reading and Extracting Data from EDI Files
  📘 Objective: Parse raw EDI files for financial records and summaries.

  Flow Steps:

  Trigger – Manual or scheduled execution of the workflow.

  Google Drive Search – Finds all new .edi or .txt files.

  Download File Contents – Loads content of each file into memory.

  Extract from File – Raw text extraction.

  📊 3. Report Generation Using AI Agents
  📘 Objective: AI Agents parse the extracted data to generate structured accounting reports.

  a. Accounts Receivable Report Agent
  The extracted text is passed to an AI Agent.

  Model is connected to:

  OpenAI Chat Model (LLM)

  Pinecone Vector DB (IUR reference)

  Outputs a structured AR Summary Report.

  b. Tax and Surcharges Report Agent
  Same steps as above.

  Prompts adjusted to extract tax, fees, surcharges, and amounts.

  ✅ Output Format: Can be mapped to columns and inserted into a Google Sheet or exported as a CSV/JSON.

  📑 Sample Reports You Can Build
  Already implemented:

  ✅ Accounts Receivable (AR) Summary Report

  ✅ Tax and Surcharges Report

  Can be extended to:
  Accounts Payable (AP)
  Passenger Revenue
  Daily Sales
  Commission Report
  Net Profit Margin (if supplier cost + commission is available)

  💡 Key Advantages
  ✅ No-code automation with n8n

  ✅ Semantic reasoning using AI + Vector DB (RAG)

  ✅ Can work with various Sabre outputs without manual parsing

  ✅ Modular: Easy to add new report types

  ✅ Cloud-integrated (Drive, Pinecone, OpenAI)

  🧪 Potential Improvements
  Area	Suggestions
  Testing	Add a “Preview” step to validate extracted data before writing
  Scalability	Batch mode + Google Sheet batching for multiple reports
  Audit Trail	Log every file name, timestamp, report type in a Google Sheet
  Notification	Send Slack/Email when a new report is generated
  Multi-model support	Add Claude/Gemini fallback if OpenAI usage limit is hit

nodes_used:
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workflow_json_compressed:
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name: Manage GoHighLevel CRM with Conversational AI Assistant and GPT-4o
author_name: Abdellah Homrani
author_username: adamcrafts
categories: []
created_at: 2025-06-22T19:08:36.160Z
updated_at: 2025-06-22T19:08:36.160Z
url: https://n8n.io/workflows/5131
scraped_at: 2025-12-24 13:02:45
description:
  🌟 Your Conversational GoHighLevel CRM Assistant: Instantly manage contacts, deals, and tasks in GoHighLevel using simple chat commands.

  🚀 Overview

  This automation sets up an intelligent AI assistant directly connected to your GoHighLevel CRM. Instead of clicking through menus and forms, you can now manage your entire sales pipeline through a simple chat conversation. It's like having a dedicated, 24/7 sales operations expert on your team, ready to act on your commands instantly.

  😩 The Problem

  Managing a powerful CRM like GoHighLevel is essential, but it can be incredibly time-consuming. You're constantly jumping between screens to add a new contact after a call, update a deal's status, create a follow-up task, or check calendar availability. Each small action requires navigating different menus, filling out multiple fields, and saving your work. This constant context-switching kills productivity, creates opportunities for human error, and slows down your entire sales cycle.

  ✨ The Solution

  This workflow acts as your personal "automated employee," transforming your GoHighLevel experience by giving you an AI-powered conversational assistant. Now, you can simply tell the AI what you need in plain English, and it gets done.

  When you send a message like, "Create a new contact for John Doe at john@email.com" the automation instantly captures the information and creates the contact. Ask it to "Find all open deals for ABC Corp" and it will search your pipeline. Need to schedule a follow-up? Just say "Create a task to call John Doe next Tuesday." 📅 This assistant handles everything from contact creation and opportunity management to task setting and appointment booking, turning tedious CRM admin into a fast and simple conversation.

  ⚙️ Simple Setup

  This workflow is a pre-built blueprint, designed to be up and running in minutes!

  Upload:** Simply upload the provided JSON file into your n8n instance.
  Connect:** Connect your app credentials (e.g., your GoHighLevel and OpenAI accounts). The workflow will show you exactly where.
  Activate:** Turn the workflow on, and it's ready to go! Let your new automated employee get to work.

  🌐 Explore more workflows
  ❤️ Buy more workflows at: adamcrafts
  🦾 Custom workflows at: adamcrafts@cloudysoftwares.com
  adamaicrafts@gmail.com


  &gt; Build once, customize endlessly, and scale your video content like never before.

nodes_used:
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name: Smart Lead Outreach with Explorium MCP Using Google Sheets and Telegram
author_name: David Olusola
author_username: dae221
categories: []
created_at: 2025-06-22T21:30:08.367Z
updated_at: 2025-06-22T21:30:08.367Z
url: https://n8n.io/workflows/5133
scraped_at: 2025-12-24 13:02:43
description:
  🚀 Smart Outreach: Auto-Personalized Lead Sequences

  🧠 What It Does

  This n8n workflow turns your Telegram bot into an AI-powered B2B lead enrichment and outreach engine.

  It uses Explorium MCP's premium business data, combined with GPT-4 intelligence, to deliver:

  Enriched lead profiles (person or company)
  AI-personalized 4-step cold email sequences
  Real-time interaction via Telegram
  Google Sheets logging for CRM or follow-up
  🖥️ Demo: https://www.loom.com/share/4c2ae62154d74b66b4a59a6926282fab
  🔄 How It Works

  Telegram Input
  Users message a company or person’s name to your Telegram bot.

  GPT-4 AI Agent Analyzes the Request
  Determines if input is a person or company
  Starts the enrichment process
  Explorium MCP Client Fetches B2B Data
  Pulls from enterprise-grade business databases
  Finds company size, revenue, funding, contact names, tech stack, and more
  Augments with Tavily search where needed
  Smart Data Processor
  Structures the info
  Classifies it
  Adds enrichment and processing timestamps
  GPT-4 Generates Email Sequence
  4-email cold outreach campaign
  Personalized based on enriched profile
  Professional tone with soft CTA and clear value
  Google Sheets Logging
  People Sheet: name, role, LinkedIn, experience, education, skills
  Companies Sheet: size, HQ, tech stack, funding, lead score, outreach emails
  Telegram Responds in Real-Time
  Sends back structured summary
  Clean JSON or readable text
  🧰 Requirements

  To run this workflow, you’ll need:

  ✅ Telegram Bot (via BotFather)
  ✅ OpenAI API Key (GPT-4 or GPT-4o)
  ✅ Explorium MCP credentials (for B2B enrichment)
  ✅ Tavily API key (for supplemental web results)
  ✅ Google Sheets account (OAuth2 connected to n8n)

  ⚙️ Setup Instructions

  Import the Template into n8n
  Use the JSON file to create a new workflow.
  Configure Telegram Trigger
  Set up your bot via BotFather
  Connect your Telegram API credentials in n8n
  Connect External APIs
  Set up Explorium MCP credentials (via header auth)
  Add Tavily and OpenAI credentials in their respective nodes
  Replace Google Sheets Links
  Update documentId and sheetName to point to your target Sheets
  Customize (Optional)
  Tweak prompt logic, email tone, or data mapping
  Add Slack alerts or CRM pushes
  Test the Flow
  DM a name or company to your Telegram bot
  Wait a few seconds for a full enriched reply + email sequence
  📥 Output Includes:

  Full structured profile in JSON format
  4 cold outreach emails tailored to the lead
  Stored copy in Google Sheets for sales or follow-up
  💼 Who This Is For:

  SDRs & Sales Teams
  AI/Marketing Agencies
  Growth Hackers
  Founders doing outbound manually

nodes_used:
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name: Multi-Channel Customer Support Automation Suite
author_name: Elie Kattar
author_username: solutionflows
categories: []
created_at: 2025-06-22T22:08:29.964Z
updated_at: 2025-06-22T22:08:29.964Z
url: https://n8n.io/workflows/5135
scraped_at: 2025-12-24 13:02:42
description:
  Multi-Channel Customer Support Automation Suite

  Transform your customer support operations with this enterprise-grade automation workflow that unifies, categorizes, and intelligently routes support tickets from multiple channels.

  🎯 Overview

  This comprehensive n8n workflow automates your entire customer support pipeline, reducing response times by up to 80% while ensuring no customer inquiry goes unnoticed. It seamlessly integrates email, web forms, and webhooks into a single, intelligent support system that works 24/7.

  💡 Key Benefits

  Unified Inbox**: Consolidate support requests from email, web forms, chat, and social media into one streamlined workflow
  Instant Response**: Automatically acknowledge tickets with intelligent, category-specific responses within seconds
  Smart Routing**: Use AI-powered categorization to route tickets to the right team instantly
  Priority Detection**: Automatically identify and escalate urgent issues and VIP customers
  Team Collaboration**: Real-time Slack notifications with color-coded priority alerts
  Zero Setup Hassle**: Pre-configured with industry best practices and ready to deploy

  🚀 Core Features

  Intelligent Ticket Processing
  Automatic categorization into billing, technical, account, feature requests, and complaints
  Sentiment analysis to detect frustrated customers
  Priority assignment based on keywords, customer status, and urgency indicators
  Custom tagging for easy tracking and reporting

  Multi-Channel Integration
  IMAP email monitoring for support inboxes
  Webhook endpoints for web forms and chat widgets
  Expandable architecture for social media channels
  Unified message format regardless of source

  Automated Response System
  Category-specific email templates
  Personalized responses with ticket IDs
  Smart logic to skip auto-responses for urgent/negative cases
  Customizable templates for your brand voice

  Team Notifications & Escalation
  Real-time Slack alerts with full ticket context
  Color-coded priorities (red/urgent, orange/high, green/normal)
  One-click actions to view or claim tickets
  Automatic escalation rules for time-sensitive issues

  CRM & Analytics Ready
  Pre-configured for major CRM systems (Zendesk, HubSpot, Salesforce)
  Comprehensive logging for performance metrics
  Error handling with admin notifications
  Built-in success/failure tracking

  📊 Use Cases

  SaaS Companies: Handle subscription issues, technical bugs, and feature requests with specialized routing to product, engineering, and billing teams.

  E-commerce: Manage order inquiries, shipping issues, and returns while maintaining high customer satisfaction scores.

  Agencies: Provide white-label support services with customizable branding and client-specific routing rules.

  Startups: Scale support operations without hiring additional staff by automating 70% of routine inquiries.

  🛠️ Technical Specifications

  Channels Supported**: Email (IMAP), Web Forms, Webhooks, expandable to social media
  Response Time**: &lt; 2 seconds for auto-responses
  Categorization Accuracy**: 85%+ with keyword matching, 95%+ with AI enhancement
  Scalability**: Handles 1,000+ tickets/day on standard n8n infrastructure
  Integration Ready**: Slack, all major CRMs, SMTP, custom APIs

  💰 ROI & Impact

  Typical results from implementing this workflow:
  80% reduction** in first response time
  60% decrease** in ticket handling time
  40% of tickets** resolved automatically
  95% customer satisfaction** for auto-responded tickets
  Save 20+ hours/week** of manual ticket sorting

  🎁 What's Included

  Complete n8n workflow JSON (ready to import)
  5 pre-configured auto-response templates
  Intelligent categorization rules for common support scenarios
  Priority detection algorithms
  Slack notification formatting
  Error handling and recovery logic
  Setup documentation and customization guide

  🔧 Requirements

  n8n instance (self-hosted or cloud)
  Email account with IMAP/SMTP access
  Slack workspace (for notifications)
  CRM system (optional but recommended)

  🚦 Quick Setup

  Import the workflow JSON
  Configure email and Slack credentials
  Customize auto-response templates
  Connect your CRM
  Go live in under 30 minutes

  Perfect for businesses handling 50-5,000 support tickets monthly who want to deliver exceptional customer service while reducing operational costs.

nodes_used:
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name: Facebook/Meta Conversion API for eCommerce Leads/Orders
author_name: Omar Akoudad
author_username: mediaplusma
categories: []
created_at: 2025-06-23T00:59:02.029Z
updated_at: 2025-06-23T00:59:02.029Z
url: https://n8n.io/workflows/5136
scraped_at: 2025-12-24 13:02:42
description:
  This n8n workflow helps eCommerce businesses (especially in the Cash on Delivery space) send real-time order events to the Meta (Facebook) Conversions API, ensuring accurate event tracking and better ad attribution.

  Features
  Webhook Listener**: Accepts incoming order data (name, phone, IP, user-agent, etc.) via HTTP POST/GET.

  Data Normalization**: Cleans and formats first_name, last_name, phone, and event_time according to Facebook's strict specs.

  Data Hashing**: Securely hashes sensitive user data (SHA256), as required by Meta.

  Full Custom Data Suppor**t: Pass order value, currency, and more.

  Ideal For:
  Shopify, WooCommerce, custom stores (Laravel, Node, etc.)

  Businesses using Meta Ads and needing high-quality server-side tracking

  Teams without access to full dev resources, but using n8n for automation

  How It Works:

  Receive Order from your store via Webhook or API.

  Format & Normalize fields to match Facebook’s expected structure.

  Encrypt Sensitive Fields using SHA256 (name, phone, email).

  Send to Facebook via the Conversions API endpoint.

  Requirements:
  A Meta Business Manager account with Conversions API access

  Your Access Token and Pixel ID set up in n8n credentials

nodes_used:
  ["n8n-nodes-base.set","n8n-nodes-base.stickyNote","n8n-nodes-base.set","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.facebookGraphApi","n8n-nodes-base.webhook","n8n-nodes-base.stickyNote","n8n-nodes-base.code","n8n-nodes-base.stickyNote","n8n-nodes-base.manualTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.code","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

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name: Extract Facebook Group Posts with Airtop
author_name: Airtop
author_username: cesar-at-airtop
nodes_used: ["n8n-nodes-base.formTrigger","n8n-nodes-base.airtop","n8n-nodes-base.stickyNote"]
categories: []
created_at: 2025-06-23T05:35:12.640Z
updated_at: 2025-06-23T05:35:12.640Z
url: https://n8n.io/workflows/5138
scraped_at: 2025-12-24 13:02:42
description:
  Extract Facebook Group Posts with Airtop

  Use Case

  Extracting content from Facebook Groups allows community managers, marketers, and researchers to gather insights, monitor discussions, and collect engagement metrics efficiently. This automation streamlines the process of retrieving non-sponsored post data from group feeds.

  What This Automation Does

  This automation extracts key post details from a Facebook Group feed using the following input parameters:

  Facebook Group URL**: The URL of the Facebook Group feed you want to scrape.
  Airtop Profile**: The name of your Airtop Profile authenticated to Facebook.

  It returns up to 5 non-sponsored posts with the following attributes for each:

  Post text
  Post URL
  Page/profile URL
  Timestamp
  Number of likes
  Number of shares
  Number of comments
  Page or profile details
  Post thumbnail

  How It Works

  Form Trigger: Collects the Facebook Group URL and Airtop Profile via a form.
  Browser Automation:

     Initiates a new browser session using Airtop.
     Navigates to the provided Facebook Group feed.
     Uses an AI prompt to extract post data, including interaction metrics and profile information.
  Structured Output: The results are returned in a defined JSON schema, ready for downstream use.

  Setup Requirements

  Airtop API Key — Free to generate.
  An Airtop Profile logged into Facebook.

  Next Steps

  Integrate With Analytics Tools**: Feed the output into dashboards or analytics platforms to monitor community engagement.
  Automate Alerts**: Trigger notifications for posts matching certain criteria (e.g., high engagement, keywords).
  Combine With Comment Automation**: Extend this to reply to posts or engage with users using other Airtop automations.

  Let me know if you’d like this saved as a .md file or included in your Airtop automation library.

  Read more about how to extract posts from Facebook groups

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name: Automated Instagram Reels Workflow
author_name: Iniyavan JC
author_username: netwithjc
categories: []
created_at: 2025-06-23T05:42:27.177Z
updated_at: 2025-06-23T05:42:27.177Z
url: https://n8n.io/workflows/5139
scraped_at: 2025-12-24 13:02:41
description:
  This workflow automates the process of creating and posting Instagram Reels, combining Google Drive, AI, Airtable, and the Facebook Graph API. It supports two content creation paths:

  Scheduled Random Video Selection & Posting

  Selects a random video from a Google Drive folder named "Random video mover" based on a schedule.

  Moves the video to a processing folder for posting.

  Manual Upload Trigger & Posting

  Watches a specific Google Drive folder ("n8n reels automation on instagram").

  Triggers the workflow when a new video is uploaded.

  Core Process (applies to both paths)

  Download Video from Google Drive.

  AI Caption Generation with Google Gemini, using the file name as context. The AI creates concise captions with hashtags and a call-to-action.

  Airtable Logging to store video name, caption, and URL.

  Instagram Reels Posting via the Facebook Graph API.

  Recent Change
  In early 2025, Meta tightened its requirements for video_url and image_url parameters. URLs must now be direct, public links to the raw media file with no redirects or authentication. Google Drive links no longer work.

  Our Fix

  Store the binary file locally on the n8n server at /tmp/video.mp4.

  Serve the file through a public n8n webhook with the correct Content-Type.

  Use the webhook URL in the Facebook Graph API request.

  Upload succeeds without the “Media download has failed” error.

  Cleanup

  Deletes the temporary file after posting.

  Benefits

  Saves time with full automation.

  Improves engagement through AI-generated captions.

  Keeps content organized in Airtable.

  Works with Meta’s updated API requirements by hosting files directly from the n8n server.

nodes_used:
  ["n8n-nodes-base.googleDriveTrigger","n8n-nodes-base.googleDrive","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.agent","n8n-nodes-base.airtable","n8n-nodes-base.facebookGraphApi","n8n-nodes-base.facebookGraphApi","n8n-nodes-base.googleDrive","n8n-nodes-base.wait","n8n-nodes-base.wait","n8n-nodes-base.code","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.scheduleTrigger","n8n-nodes-base.code","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.wait","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.readWriteFile","n8n-nodes-base.respondToWebhook","n8n-nodes-base.webhook","n8n-nodes-base.readWriteFile","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
  [encoded data, 6044 characters]


name: Build and Update RAG System with Google Drive, Qdrant, and Gemini Chat
author_name: Davide
author_username: n3witalia
categories: []
created_at: 2025-06-23T08:09:25.952Z
updated_at: 2025-06-23T08:09:25.952Z
url: https://n8n.io/workflows/5140
scraped_at: 2025-12-24 13:02:41
description:
  This workflow automates the creation and management of a Retrieval-Augmented Generation (RAG) system using Qdrant as a vector store and Google Drive as the document source. It enables full or incremental updates to documents in the Qdrant vector database and integrates with a chatbot using Google Gemini for question answering.

  Here is a clear and professional description in English of the n8n workflow “Create a RAG with Qdrant and update single files”, including its benefits:

  Benefits

  Efficient RAG Setup**
    Seamlessly integrates OpenAI, Qdrant, and Google Drive to create a scalable RAG pipeline.

  Single File Update**
    You can replace the vector representation of a single file without reprocessing the entire collection—ideal for maintaining document freshness.

  Flexible File Source**
    Works with Google Drive, allowing document management and updates from a familiar interface.
  How It Works  
  This workflow is designed to create a Retrieval-Augmented Generation (RAG) system using Qdrant as a vector store and Google Drive as a document source. It consists of four main phases:  

  Collection Setup**:  
    Creates or clears a Qdrant collection to store vectorized documents.  
    Configures the collection with cosine distance metrics and other parameters.  

  Document Processing**:  
    Retrieves files from a specified Google Drive folder.  
    Downloads and processes each file (text extraction, chunking, and embedding using OpenAI).  
    Stores the embeddings in Qdrant for vector search.  

  Single-File Update**:  
    Allows updating or deleting a specific file in the Qdrant collection by referencing its Google Drive ID.  
    Re-embeds the file and updates the vector store.  

  RAG Querying**:  
    Uses a chat trigger to receive user questions.  
    Retrieves relevant documents from Qdrant using vector similarity.  
    Generates answers using Google Gemini as the language model.  

  Set Up Steps  

  Configure Qdrant:  
     Replace QDRANTURL and COLLECTION in the "Create collection" and "Clear collection" HTTP nodes.  
     Ensure Qdrant API credentials are correctly set in the credentials section.  

  Google Drive Integration:  
     Specify the Google Drive folder ID in the "Get files" node.  
     Ensure Google Drive OAuth credentials are configured.  

  OpenAI and Gemini Keys:  
     Add OpenAI API credentials for embeddings (used in "Embeddings OpenAI" nodes).  
     Configure Google Gemini credentials for the chat model.  

  Single-File Update:  
     Set the file_id in the "Edit Fields3" node to target a specific Google Drive file for updates.  

  Testing:  
     Trigger the workflow manually to populate the Qdrant collection.  
     Use the chat interface to test RAG responses.  
  Need help customizing?  
  Contact me for consulting and support or add me on Linkedin. 

nodes_used:
  ["n8n-nodes-base.manualTrigger","@n8n/n8n-nodes-langchain.embeddingsOpenAi","@n8n/n8n-nodes-langchain.documentDefaultDataLoader","@n8n/n8n-nodes-langchain.vectorStoreQdrant","n8n-nodes-base.httpRequest","@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter","n8n-nodes-base.splitInBatches","n8n-nodes-base.wait","@n8n/n8n-nodes-langchain.embeddingsOpenAi","@n8n/n8n-nodes-langchain.documentDefaultDataLoader","@n8n/n8n-nodes-langchain.textSplitterRecursiveCharacterTextSplitter","n8n-nodes-base.httpRequest","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.httpRequest","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","n8n-nodes-base.googleDrive","@n8n/n8n-nodes-langchain.chatTrigger","@n8n/n8n-nodes-langchain.chainRetrievalQa","@n8n/n8n-nodes-langchain.lmChatGoogleGemini","@n8n/n8n-nodes-langchain.retrieverVectorStore","@n8n/n8n-nodes-langchain.vectorStoreQdrant","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.embeddingsOpenAi","n8n-nodes-base.stickyNote","n8n-nodes-base.set","@n8n/n8n-nodes-langchain.vectorStoreQdrant","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
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name: Auto Icon & Cover for New Notion Pages
author_name: TreyDong
author_username: trey-dong
categories: []
created_at: 2025-06-23T08:17:34.157Z
updated_at: 2025-06-23T08:17:34.157Z
url: https://n8n.io/workflows/5141
scraped_at: 2025-12-24 13:02:45
description:
  How it works
  • Automatically detects when new pages are created in your Notion workspace
  • Uses AI to generate contextually relevant icons based on page titles for perfect visual representation
  • Fetches random high-quality cover images from Unsplash to add visual appeal to each page
  • Seamlessly integrates with your existing Notion workflow without manual intervention

  Set up steps
  • Connect your Notion workspace using API credentials - takes about 5 minutes to configure
  • Set up AI service integration for intelligent icon generation based on page titles
  • Configure Unsplash API access for random cover image fetching
  • Configure webhook triggers to monitor new page creation events
  • Test the workflow with a sample page to ensure proper functionality
  • Keep detailed setup instructions and troubleshooting tips in the workflow notes for future reference

  This template helps streamline your Notion workspace by automatically beautifying new pages with AI-generated icons and stunning Unsplash covers, saving you time while maintaining a visually appealing and professional appearance across your knowledge base.

nodes_used:
  ["n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.code","n8n-nodes-base.splitInBatches","n8n-nodes-base.webhook","@n8n/n8n-nodes-langchain.lmChatOpenRouter","@n8n/n8n-nodes-langchain.chainLlm","n8n-nodes-base.code","n8n-nodes-base.stickyNote","n8n-nodes-base.code","n8n-nodes-base.httpRequest","n8n-nodes-base.code","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
  [encoded data, 7308 characters]


name: AI-Powered Email Replies with Spam Filtering & FAQ Lookup using GPT-4o mini & Pinecone
author_name: Matteo
author_username: mattabott
categories: []
created_at: 2025-06-23T09:18:25.356Z
updated_at: 2025-06-23T09:18:25.356Z
url: https://n8n.io/workflows/5142
scraped_at: 2025-12-24 13:02:43
description:
  This n8n workflow automates the handling of incoming emails. It detects and filters out spam, searches a knowledge base (FAQ) stored in a Pinecone vector database, and sends a reply using Gmail — all powered by an AI model (GPT-4o mini).

  How It Works
  Receiving Emails

  The Gmail Trigger node checks a Gmail inbox every hour.

  When a new email arrives, it starts the workflow.

  Fetching Full Email Content

  The get_message node retrieves all the details of the message: sender, subject, text, message ID, etc.

  Spam Filtering

  The Spam checker node uses GPT-4o mini to classify the email as either "spam" or "no spam".

  It detects not only classic spam but also automated messages (e.g. from Google or Microsoft).

  If marked as "spam", the workflow ends and nothing is processed.

  Conditional Filter

  The If node checks the spam result.

  Only "no spam" emails proceed to the AI Agent.

  AI-Based Reply

  The AI Agent node generates a response based on:

  	The email content

  	A system prompt defining the assistant’s behavior (polite, professional, under the name “Total AI Solutions”)

  	Information retrieved from the Pinecone Vector Store, which contains FAQs

  The AI is instructed to always check the vector store before replying.

  The AI prepares both the subject and the body of the reply.

  Sending the Reply

  The Gmail node sends the reply to the original sender.

  It uses the original email's ID to keep the thread intact.

  Language Model

  The OpenAI Chat Model node provides GPT-4o mini as the language engine for generating responses.

  Memory Support

  The Simple Memory node maintains short-term context, helpful in multi-turn conversations.

  Knowledge Base (FAQ)

  The Pinecone Vector Store node connects to a Pinecone index (faqmattabott) containing vectorized FAQ content.

  Vectors are created using the Embeddings OpenAI node.

nodes_used:
  ["@n8n/n8n-nodes-langchain.agent","@n8n/n8n-nodes-langchain.lmChatOpenAi","@n8n/n8n-nodes-langchain.memoryBufferWindow","n8n-nodes-base.gmailTool","n8n-nodes-base.gmailTrigger","n8n-nodes-base.gmail","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","@n8n/n8n-nodes-langchain.vectorStorePinecone","@n8n/n8n-nodes-langchain.embeddingsOpenAi","n8n-nodes-base.if","@n8n/n8n-nodes-langchain.openAi"]

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name: 🛠️ Transform JSON to XML for Enhanced AI Prompt Formatting
author_name: Lucas Peyrin
author_username: lucaspeyrin
categories: []
created_at: 2025-06-23T09:48:08.695Z
updated_at: 2025-06-23T09:48:08.695Z
url: https://n8n.io/workflows/5144
scraped_at: 2025-12-24 13:02:42
description:
  Overview

  This template provides a powerful and configurable utility to convert JSON data into a clean, well-structured XML format. It is designed for developers, data analysts, and n8n users who need to interface with legacy systems, generate structured reports, or prepare data for consumption by Large Language Models (LLMs), which often exhibit improved understanding and parsing with XML-formatted input.

  Use Cases

  This workflow is ideal for solving several common data transformation problems:

  Preparing Data for AI Prompts:** LLMs like GPT-4 often parse XML more reliably than JSON within a prompt. The explicit closing tags and hierarchical nature of XML reduce ambiguity, leading to better and more consistent responses from the AI.
  Interfacing with Legacy Systems:** Many enterprise systems, SOAP APIs, and older software exclusively accept or produce data in XML format. This template acts as a bridge, allowing modern JSON-based services to communicate with them seamlessly.
  Generating Structured Reports:** Create XML files for reporting or data interchange standards that require a specific, well-defined structure.
  Improving Data Readability:** For complex nested data, a well-formatted XML can be easier for humans to read and debug than a compact JSON string.

  How it works

  This workflow acts as a powerful, configurable JSON to XML converter. It takes a JSON object as input and performs the following steps:

  Recursively Parses JSON: It intelligently navigates through the entire JSON structure, including nested objects and arrays.
  Handles Data Types:
      Primitive Arrays (e.g., ["a", "b", "c"]) are joined into a single string with a safe delimiter.
      Complex Arrays (of objects) are converted into indexed XML tags (&lt;0&gt;, &lt;1&gt;, etc.).
      Dates are automatically detected and formatted into a readable YYYY-MM-DD HH:mm:ss format.
  Generates XML String: It constructs a final XML string based on the logic and configuration set inside the Code node. The output is provided in a single xml field, ready for use.

  Set up steps

  Setup time: ~1 minute

  This workflow is designed to be used as a sub-workflow (or "child workflow").

  In your main workflow, add an Execute Workflow node.
  In the Workflow parameter of that node, select this "JSON to XML Converter" workflow.
  That's it! You can now send JSON data to the Execute Workflow node and it will return the converted XML string in the xml field.

  Customization Options

  The true power of this template lies in its customizability, all managed within the configuration section at the top of the Code node. This allows you to fine-tune the output XML to your exact needs.

  REMOVE_EMPTY_VALUES**: Set to true (default) to completely omit tags for null, undefined, or empty string values, resulting in a cleaner XML. Set to false to include empty tags like &lt;myTag&gt;&lt;/myTag&gt;.
  Newline Formatting**: Control the spacing and readability of the output with four distinct settings:
      NEWLINES_TOP_LEVEL: Adjusts the newlines between root-level elements.
      NEWLINES_ARRAY_ITEMS: Controls spacing between items in a complex array (e.g., between &lt;0&gt; and &lt;1&gt;).
      NEWLINES_OBJECT_PROPERTIES: Manages newlines between the properties of an object.
      NEWLINES_WITHIN_TAGS: Adds newlines between an opening/closing tag and its content for an "indented" look.

  Prerequisites

  An active n8n instance.
  Basic familiarity with JSON and XML data structures.
  Understanding of how to use the Execute Workflow node to run sub-workflows.

nodes_used:
  ["n8n-nodes-base.code","n8n-nodes-base.executeWorkflowTrigger","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
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name: Trustpilot Insights Scraper: Auto Reviews via Bright Data + Google Sheets Sync
author_name: Shiv Gupta
author_username: shivgupta
categories: []
created_at: 2025-06-23T10:00:18.093Z
updated_at: 2025-06-23T10:00:18.093Z
url: https://n8n.io/workflows/5145
scraped_at: 2025-12-24 13:02:44
description:
  Trustpilot Insights Scraper: Auto Reviews via Bright Data + Google Sheets Sync

  Overview
  A comprehensive n8n automation that scrapes Trustpilot business reviews using Bright Data and automatically stores structured data in Google Sheets.

  Workflow Architecture

  1. 📝 Form Trigger Node
  Purpose: Manual input interface for users
  Type**: n8n-nodes-base.formTrigger
  Configuration**:
    Form Title: "Website URL"
    Field: "Trustpilot Website URL"
  Function**: Accepts Trustpilot URL input from users to initiate the scraping process

  2. 🌐 HTTP Request (Trigger Scraping)
  Purpose: Initiates scraping on Bright Data platform
  Type**: n8n-nodes-base.httpRequest
  Method**: POST
  Endpoint**: https://api.brightdata.com/datasets/v3/trigger
  Configuration**:
    Query Parameters:
      dataset_id: gd_lm5zmhwd2sni130p
      include_errors: true
      limit_multiple_results: 2
    Headers:
      Authorization: Bearer BRIGHT_DATA_API_KEY
    Body: JSON with input URL and 35+ custom output fields

  Custom Output Fields
  The workflow extracts the following data points:
  Company Information**: company_name, company_logo, company_overall_rating, company_total_reviews, company_about, company_email, company_phone, company_location, company_country, company_category, company_id, company_website
  Review Data**: review_id, review_date, review_rating, review_title, review_content, review_date_of_experience, review_url, date_posted
  Reviewer Information**: reviewer_name, reviewer_location, reviews_posted_overall
  Review Metadata**: is_verified_review, review_replies, review_useful_count
  Rating Distribution**: 5_star, 4_star, 3_star, 2_star, 1_star
  Additional Fields**: url, company_rating_name, is_verified_company, breadcrumbs, company_other_categories

  3. ⌛ Snapshot Progress Check
  Purpose: Monitors scraping job status
  Type**: n8n-nodes-base.httpRequest
  Method**: GET
  Endpoint**: https://api.brightdata.com/datasets/v3/progress/{{ $json.snapshot_id }}
  Configuration**:
    Query Parameters: format=json
    Headers: Authorization: Bearer BRIGHT_DATA_API_KEY
  Function**: Receives snapshot_id from previous step and checks if data is ready

  4. ✅ IF Node (Status Check)
  Purpose: Determines next action based on scraping status
  Type**: n8n-nodes-base.if
  Condition**: $json.status === "ready"
  Logic**:
    If True: Proceeds to data download
    If False: Triggers wait cycle

  5. 🕒 Wait Node
  Purpose: Implements polling delay for incomplete jobs
  Type**: n8n-nodes-base.wait
  Duration**: 1 minute
  Function**: Pauses execution before re-checking snapshot status

  6. 🔄 Loop Logic
  Purpose: Continuous monitoring until completion
  Flow**: Wait → Check Status → Evaluate → (Loop or Proceed)
  Prevents**: API rate limiting and unnecessary requests

  7. 📥 Snapshot Download
  Purpose: Retrieves completed scraped data
  Type**: n8n-nodes-base.httpRequest
  Method**: GET
  Endpoint**: https://api.brightdata.com/datasets/v3/snapshot/{{ $json.snapshot_id }}
  Configuration**:
    Query Parameters: format=json
    Headers: Authorization: Bearer BRIGHT_DATA_API_KEY

  8. 📊 Google Sheets Integration
  Purpose: Stores extracted data in spreadsheet
  Type**: n8n-nodes-base.googleSheets
  Operation**: Append
  Configuration**:
    Document ID: 1yQ10Q2qSjm-hhafHF2sXu-hohurW5_KD8fIv4IXEA3I
    Sheet Name: "Trustpilot"
    Mapping: Auto-map all 35+ fields
    Credentials: Google OAuth2 integration

  Data Flow

  User Input (URL) 
      ↓
  Bright Data API Call
      ↓
  Snapshot ID Generated
      ↓
  Status Check Loop
      ↓
  Data Ready Check
      ↓
  Download Complete Dataset
      ↓
  Append to Google Sheets

  Technical Specifications

  Authentication
  Bright Data**: Bearer token authentication
  Google Sheets**: OAuth2 integration

  Error Handling
  Includes error tracking in Bright Data requests
  Conditional logic prevents infinite loops
  Wait periods prevent API rate limiting

  Data Processing
  Mapping Mode**: Auto-map input data
  Schema**: 35+ predefined fields with string types
  Conversion**: No type conversion (preserves raw data)

  Setup Requirements

  Prerequisites
  Bright Data Account: Active account with API access
  Google Account: With Sheets API enabled
  n8n Instance: Self-hosted or cloud version

  Configuration Steps
  API Keys: Configure Bright Data bearer token
  OAuth Setup: Connect Google Sheets credentials
  Dataset ID: Verify correct Bright Data dataset ID
  Sheet Access: Ensure proper permissions for target spreadsheet

  Environment Variables
  BRIGHT_DATA_API_KEY: Your Bright Data API authentication token

  Use Cases

  Business Intelligence
  Competitor analysis and market research
  Customer sentiment monitoring
  Brand reputation tracking

  Data Analytics
  Review trend analysis
  Rating distribution studies
  Customer feedback aggregation

  Automation Benefits
  Scalability**: Handle multiple URLs sequentially
  Reliability**: Built-in error handling and retry logic
  Efficiency**: Automated data collection and storage
  Consistency**: Standardized data format across all scrapes

  Limitations and Considerations

  Rate Limits
  Bright Data API has usage limitations
  1-minute wait periods help manage request frequency

  Data Volume
  Limited to 2 results per request (configurable)
  Large datasets may require multiple workflow runs

  Compliance
  Ensure compliance with Trustpilot's terms of service
  Respect robots.txt and rate limiting guidelines

  Monitoring and Maintenance

  Status Tracking
  Monitor workflow execution logs
  Check Google Sheets for data accuracy
  Review Bright Data usage statistics

  Regular Updates
  Update API keys as needed
  Verify dataset ID remains valid
  Test workflow functionality periodically

  Workflow Metadata

  Version ID**: dd3afc3c-91fc-474e-99e0-1b25e62ab392
  Instance ID**: bc8ca75c203589705ae2e446cad7181d6f2a7cc1766f958ef9f34810e53b8cb2
  Execution Order**: v1
  Active Status**: Currently inactive (requires manual activation)
  Template Status**: Credentials setup completed

  For any questions or support, please contact: Email
  or fill out this form

nodes_used:
  ["n8n-nodes-base.if","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.formTrigger","n8n-nodes-base.httpRequest","n8n-nodes-base.httpRequest","n8n-nodes-base.wait","n8n-nodes-base.if","n8n-nodes-base.httpRequest","n8n-nodes-base.googleSheets"]

workflow_json_compressed:
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name: 🛠️ Process AI Output to Structured JSON with Robust JSON Parser
author_name: Lucas Peyrin
author_username: lucaspeyrin
categories: []
created_at: 2025-06-23T10:13:09.027Z
updated_at: 2025-06-23T10:13:09.027Z
url: https://n8n.io/workflows/5146
scraped_at: 2025-12-24 13:02:41
description:
  How it works

  This workflow is a robust and forgiving JSON parser designed to handle malformed or "dirty" JSON strings often returned by AI models or scraped from web pages. It takes a text string as input and attempts to extract and parse a valid JSON object from it.

  Cleans Input: It starts by trimming whitespace and removing common Markdown code fences (like ` Applies Multiple Fixes: It systematically attempts to correct common JSON errors in a specific order:
      Escapes unescaped control characters (like newlines) within strings.
      Fixes invalid backslash escape sequences.
      Removes trailing commas.
      Intelligently attempts to fix unescaped double quotes inside string values.
  Parses Strategically: If a direct parse fails, it tries to extract a potential JSON object from the text (e.g., finding a {...} block inside a larger sentence) and then re-applies the cleaning logic to that extracted portion.
  Outputs Clean Data: If successful, it outputs the parsed JSON fields. By default, it removes the detailed parsing_status object, but you can deactivate the final "Set" node to keep it for debugging.

  Set up steps

  Setup time: ~1 minute

  This workflow is designed to be used as a sub-workflow and requires no internal setup.

  In your main workflow, add an Execute Sub-Workflow node where you need to parse a messy JSON string.
  In the Workflow parameter, select this "Robust JSON Parser" workflow.
  Ensure the data you send to the node is a JSON object containing a text field, where the value of text is the string you want to parse. For example: { "text": "{\\\"key\\\": \\\"some broken json...\\\"}" }.
  The workflow will return the successfully parsed data. To see a detailed log of the cleaning process, simply deactivate the final Remove parsing_status node inside this workflow.

nodes_used:
  ["n8n-nodes-base.executeWorkflowTrigger","n8n-nodes-base.code","n8n-nodes-base.set","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote","n8n-nodes-base.stickyNote"]

workflow_json_compressed:
  [encoded data, 6932 characters]


