mirror of
https://github.com/czlonkowski/n8n-mcp.git
synced 2026-02-10 07:13:07 +00:00
refactor: rewrite all MCP tool documentation for AI agent optimization
- Redesigned documentation to be utilitarian and AI-agent focused - Removed all pleasantries, emojis, and conversational language - Added concrete numbers throughout (528 nodes, 108 triggers, 264 AI tools) - Updated all tool descriptions with practical, actionable information - Enhanced examples with actual return structures and usage patterns - Made Code node guides prominently featured in overview - Verified documentation accuracy through extensive testing - Standardized format across all 30+ tool documentation files Documentation now optimized for token efficiency while maintaining clarity and completeness for AI agent consumption. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
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czlonkowski
@@ -4,39 +4,64 @@ export const getDatabaseStatisticsDoc: ToolDocumentation = {
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name: 'get_database_statistics',
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category: 'discovery',
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essentials: {
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description: 'Node stats: 525 total, 263 AI tools, 104 triggers, 87% docs coverage. Verifies MCP working.',
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description: 'Returns database health metrics and node inventory. Shows 525 total nodes, 263 AI-capable nodes, 104 triggers, with 87% documentation coverage. Primary use: verify MCP connection is working correctly.',
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keyParameters: [],
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example: 'get_database_statistics()',
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performance: 'Instant',
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tips: [
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'Use to verify MCP connection',
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'Check doc coverage',
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'See AI tool counts'
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'First tool to call when testing MCP connection',
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'Shows exact counts for all node categories',
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'Documentation coverage indicates data quality'
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]
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},
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full: {
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description: 'Returns comprehensive database statistics including node counts, AI tool availability, trigger nodes, documentation coverage, and package distribution. Useful for verifying MCP connectivity.',
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description: 'Returns comprehensive database statistics showing the complete inventory of n8n nodes, their categories, documentation coverage, and package distribution. Essential for verifying MCP connectivity and understanding available resources.',
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parameters: {},
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returns: 'Statistics object with total_nodes, ai_tools, triggers, docs_coverage, packages breakdown',
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returns: `Object containing:
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{
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"total_nodes": 525, // All nodes in database
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"nodes_with_properties": 520, // Nodes with extracted properties (99%)
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"nodes_with_operations": 334, // Nodes with multiple operations (64%)
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"ai_tools": 263, // AI-capable nodes
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"triggers": 104, // Workflow trigger nodes
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"documentation_coverage": "87%", // Nodes with official docs
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"packages": {
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"n8n-nodes-base": 456, // Core n8n nodes
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"@n8n/n8n-nodes-langchain": 69 // AI/LangChain nodes
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},
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"categories": {
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"trigger": 104,
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"transform": 250,
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"output": 45,
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"input": 38,
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"AI": 88
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}
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}`,
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examples: [
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'get_database_statistics() - Get all statistics'
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'get_database_statistics() - Returns complete statistics object',
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'// Common check:',
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'const stats = get_database_statistics();',
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'if (stats.total_nodes < 500) console.error("Database incomplete!");'
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],
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useCases: [
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'Verify MCP is working',
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'Check documentation coverage',
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'Audit available nodes',
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'Monitor AI tool availability'
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'Verify MCP server is connected and responding',
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'Check if database rebuild is needed (low node count)',
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'Monitor documentation coverage improvements',
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'Validate AI tools availability for workflows',
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'Audit node distribution across packages'
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],
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performance: 'Instant - Pre-calculated statistics',
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performance: 'Instant (<1ms) - Statistics are pre-calculated and cached',
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bestPractices: [
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'Use to verify connection',
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'Check before bulk operations',
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'Monitor after database updates'
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'Call this first to verify MCP connection before other operations',
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'Check total_nodes >= 500 to ensure complete database',
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'Monitor documentation_coverage for data quality',
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'Use ai_tools count to verify AI capabilities'
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],
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pitfalls: [
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'Stats cached until rebuild',
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'May not reflect runtime changes'
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'Statistics are cached at database build time, not real-time',
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'Won\'t reflect changes until database is rebuilt',
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'Package counts may vary with n8n version updates'
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],
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relatedTools: ['list_nodes', 'list_ai_tools', 'search_nodes']
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relatedTools: ['list_nodes for detailed node listing', 'list_ai_tools for AI nodes', 'n8n_health_check for API connectivity']
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}
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};
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@@ -4,21 +4,44 @@ export const listAiToolsDoc: ToolDocumentation = {
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name: 'list_ai_tools',
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category: 'discovery',
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essentials: {
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description: 'List AI-optimized nodes. Note: ANY node can be AI tool! Connect any node to AI Agent\'s tool port. Community nodes need N8N_COMMUNITY_PACKAGES_ALLOW_TOOL_USAGE=true.',
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description: 'Returns 263 nodes with built-in AI features. CRITICAL: Any of the 525 n8n nodes can be used as an AI tool by connecting it to an AI Agent node\'s tool port. This list only shows nodes with AI-specific features, not all usable nodes.',
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keyParameters: [],
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example: 'list_ai_tools()',
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performance: 'Fast query',
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tips: ['ANY node works as AI tool']
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performance: 'Instant (cached)',
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tips: [
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'ANY node can be an AI tool - not limited to this list',
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'Connect Slack, Database, HTTP Request, etc. to AI Agent tool port',
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'Use get_node_as_tool_info for guidance on any node'
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]
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},
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full: {
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description: 'List nodes marked as AI tools. IMPORTANT: Any n8n node can be used as AI tool by connecting to AI Agent\'s tool port.',
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description: 'Lists 263 nodes that have built-in AI capabilities or are optimized for AI workflows. IMPORTANT: This is NOT a complete list of nodes usable as AI tools. Any of the 525 n8n nodes can be connected to an AI Agent node\'s tool port to function as an AI tool. This includes Slack, Google Sheets, databases, HTTP requests, and more.',
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parameters: {},
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returns: 'Array of AI-optimized nodes with usage hints',
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examples: ['list_ai_tools() - Get AI-optimized nodes'],
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useCases: ['Find AI model integrations', 'Build agent toolchains'],
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performance: 'Fast query, cached results',
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bestPractices: ['Any node works as tool', 'Community nodes need env var'],
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pitfalls: ['List not exhaustive - all nodes work'],
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relatedTools: ['get_node_as_tool_info', 'search_nodes']
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returns: 'Array of 263 AI-optimized nodes including: OpenAI (GPT-3/4), Anthropic (Claude), Google AI (Gemini/PaLM), Cohere, HuggingFace, Pinecone, Qdrant, Supabase Vector Store, LangChain nodes, embeddings processors, vector stores, chat models, and AI-specific utilities. Each entry includes nodeType, displayName, and AI-specific capabilities.',
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examples: [
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'list_ai_tools() - Returns all 263 AI-optimized nodes',
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'// To use ANY node as AI tool:',
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'// 1. Add any node (e.g., Slack, MySQL, HTTP Request)',
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'// 2. Connect it to AI Agent node\'s "Tool" input port',
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'// 3. The AI agent can now use that node\'s functionality'
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],
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useCases: [
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'Discover AI model integrations (OpenAI, Anthropic, Google AI)',
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'Find vector databases for RAG applications',
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'Locate embedding generators and processors',
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'Build AI agent tool chains with ANY n8n node'
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],
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performance: 'Instant - results are pre-cached in memory',
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bestPractices: [
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'Remember: ANY node works as an AI tool when connected to AI Agent',
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'Common non-AI nodes used as tools: Slack (messaging), Google Sheets (data), HTTP Request (APIs), Code (custom logic)',
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'For community nodes: set N8N_COMMUNITY_PACKAGES_ALLOW_TOOL_USAGE=true'
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],
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pitfalls: [
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'This list is NOT exhaustive - it only shows nodes with AI-specific features',
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'Don\'t limit yourself to this list when building AI workflows',
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'Community nodes require environment variable to work as tools'
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],
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relatedTools: ['get_node_as_tool_info for any node usage', 'search_nodes to find specific nodes', 'get_node_essentials to configure nodes']
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}
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};
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@@ -4,32 +4,49 @@ export const listNodesDoc: ToolDocumentation = {
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name: 'list_nodes',
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category: 'discovery',
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essentials: {
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description: 'List n8n nodes. Common: list_nodes({limit:200}) for all, list_nodes({category:"trigger"}) for triggers. Package: "n8n-nodes-base" or "@n8n/n8n-nodes-langchain". Categories: trigger/transform/output/input.',
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description: 'Lists n8n nodes with filtering options. Returns up to 525 total nodes. Default limit is 50, use limit:200 to get all nodes. Filter by category to find specific node types like triggers (104 nodes) or AI nodes (263 nodes).',
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keyParameters: ['category', 'package', 'limit', 'isAITool'],
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example: 'list_nodes({limit:200})',
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performance: 'Fast query',
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tips: ['limit:200+ for all']
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performance: '<10ms for any query size',
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tips: [
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'Use limit:200 to get all 525 nodes',
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'Categories: trigger (104), transform (250+), output/input (50+)',
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'Use search_nodes for keyword search'
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]
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},
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full: {
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description: 'List n8n nodes with filtering. Returns array of nodes with metadata.',
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description: 'Lists n8n nodes with comprehensive filtering options. Returns an array of node metadata including type, name, description, and category. Database contains 525 total nodes: 456 from n8n-nodes-base package and 69 from @n8n/n8n-nodes-langchain package.',
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parameters: {
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category: { type: 'string', description: 'trigger|transform|output|input|AI', required: false },
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package: { type: 'string', description: '"n8n-nodes-base" (core) or "@n8n/n8n-nodes-langchain" (AI)', required: false },
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limit: { type: 'number', description: 'Max results (default 50, use 200+ for all)', required: false },
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isAITool: { type: 'boolean', description: 'Filter AI-capable nodes', required: false },
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developmentStyle: { type: 'string', description: 'Usually "programmatic"', required: false }
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category: { type: 'string', description: 'Filter by category: "trigger" (104 nodes), "transform" (250+ nodes), "output", "input", or "AI"', required: false },
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package: { type: 'string', description: 'Filter by package: "n8n-nodes-base" (456 core nodes) or "@n8n/n8n-nodes-langchain" (69 AI nodes)', required: false },
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limit: { type: 'number', description: 'Maximum results to return. Default: 50. Use 200+ to get all 525 nodes', required: false },
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isAITool: { type: 'boolean', description: 'Filter to show only AI-capable nodes (263 nodes)', required: false },
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developmentStyle: { type: 'string', description: 'Filter by style: "programmatic" or "declarative". Most nodes are programmatic', required: false }
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},
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returns: 'Array with nodeType, displayName, description, category',
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returns: 'Array of node objects, each containing: nodeType (e.g., "nodes-base.webhook"), displayName (e.g., "Webhook"), description, category, package, isAITool flag',
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examples: [
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'list_nodes({limit:200}) - All nodes',
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'list_nodes({category:"trigger"}) - Webhook, Schedule, etc.',
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'list_nodes({package:"@n8n/n8n-nodes-langchain"}) - AI/LangChain nodes',
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'list_nodes({isAITool:true}) - Nodes usable as AI tools'
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'list_nodes({limit:200}) - Returns all 525 nodes',
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'list_nodes({category:"trigger"}) - Returns 104 trigger nodes (Webhook, Schedule, Email Trigger, etc.)',
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'list_nodes({package:"@n8n/n8n-nodes-langchain"}) - Returns 69 AI/LangChain nodes',
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'list_nodes({isAITool:true}) - Returns 263 AI-capable nodes',
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'list_nodes({category:"trigger", isAITool:true}) - Combines filters for AI-capable triggers'
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],
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useCases: ['Browse by category', 'Find triggers', 'Get AI nodes'],
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performance: 'Fast query, returns metadata only',
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bestPractices: ['Use limit:200+ for full list', 'Category for focused search'],
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pitfalls: ['No text search - use search_nodes'],
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relatedTools: ['search_nodes', 'list_ai_tools']
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useCases: [
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'Browse all available nodes when building workflows',
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'Find all trigger nodes to start workflows',
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'Discover AI/ML nodes for intelligent automation',
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'Check available nodes in specific packages'
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],
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performance: '<10ms for any query size. Results are cached in memory',
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bestPractices: [
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'Use limit:200 when you need the complete node inventory',
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'Filter by category for focused discovery',
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'Combine with get_node_essentials to configure selected nodes'
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],
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pitfalls: [
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'No text search capability - use search_nodes for keyword search',
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'developmentStyle filter rarely useful - most nodes are "programmatic"'
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],
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relatedTools: ['search_nodes for keyword search', 'list_ai_tools for AI-specific discovery', 'get_node_essentials to configure nodes']
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}
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};
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@@ -4,42 +4,51 @@ export const searchNodesDoc: ToolDocumentation = {
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name: 'search_nodes',
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category: 'discovery',
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essentials: {
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description: 'Search nodes by keyword. Common nodes ranked first.',
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keyParameters: ['query', 'mode'],
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description: 'Text search across node names and descriptions. Returns most relevant nodes first, with frequently-used nodes (HTTP Request, Webhook, Set, Code, Slack) prioritized in results. Searches all 525 nodes in the database.',
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keyParameters: ['query', 'mode', 'limit'],
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example: 'search_nodes({query: "webhook"})',
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performance: 'Fast (<20ms)',
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performance: '<20ms even for complex queries',
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tips: [
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'OR=any word, AND=all words, FUZZY=typos',
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'Quotes for exact phrase'
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'OR mode (default): Matches any search word',
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'AND mode: Requires all words present',
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'FUZZY mode: Handles typos and spelling errors',
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'Use quotes for exact phrases: "google sheets"'
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]
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},
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full: {
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description: 'Full-text search with relevance ranking. Common nodes (webhook, http) prioritized.',
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description: 'Full-text search engine for n8n nodes using SQLite FTS5. Searches across node names, descriptions, and aliases. Results are ranked by relevance with commonly-used nodes given priority. Common nodes include: HTTP Request, Webhook, Set, Code, IF, Switch, Merge, SplitInBatches, Slack, Google Sheets.',
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parameters: {
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query: { type: 'string', description: 'Use quotes for exact phrase', required: true },
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limit: { type: 'number', description: 'Default: 20', required: false },
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mode: { type: 'string', description: 'OR|AND|FUZZY', required: false }
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query: { type: 'string', description: 'Search keywords. Use quotes for exact phrases like "google sheets"', required: true },
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limit: { type: 'number', description: 'Maximum results to return. Default: 20, Max: 100', required: false },
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mode: { type: 'string', description: 'Search mode: "OR" (any word matches, default), "AND" (all words required), "FUZZY" (typo-tolerant)', required: false }
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},
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returns: 'Nodes array sorted by relevance',
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returns: 'Array of node objects sorted by relevance score. Each object contains: nodeType, displayName, description, category, relevance score. Common nodes appear first when relevance is similar.',
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examples: [
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'search_nodes({query: "webhook"}) - Finds Webhook node',
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'search_nodes({query: "slak", mode: "FUZZY"}) - Finds Slack'
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'search_nodes({query: "webhook"}) - Returns Webhook node as top result',
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'search_nodes({query: "database"}) - Returns MySQL, Postgres, MongoDB, Redis, etc.',
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'search_nodes({query: "google sheets", mode: "AND"}) - Requires both words',
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'search_nodes({query: "slak", mode: "FUZZY"}) - Finds Slack despite typo',
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'search_nodes({query: "http api"}) - Finds HTTP Request, GraphQL, REST nodes',
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'search_nodes({query: "transform data"}) - Finds Set, Code, Function, Item Lists nodes'
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],
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useCases: [
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'Finding nodes by keyword',
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'Typo-tolerant search',
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'Multi-word searches'
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'Finding nodes when you know partial names',
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'Discovering nodes by functionality (e.g., "email", "database", "transform")',
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'Handling user typos in node names',
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'Finding all nodes related to a service (e.g., "google", "aws", "microsoft")'
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],
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performance: 'Fast - FTS5 search',
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performance: '<20ms for simple queries, <50ms for complex FUZZY searches. Uses FTS5 index for speed',
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bestPractices: [
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'Single words for best results',
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'FUZZY for uncertain spelling',
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'AND requires all terms anywhere'
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'Start with single keywords for broadest results',
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'Use FUZZY mode when users might misspell node names',
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'AND mode works best for 2-3 word searches',
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'Combine with get_node_essentials after finding the right node'
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],
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pitfalls: [
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'AND searches all fields not just names',
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'Short queries + FUZZY = unexpected results'
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'AND mode searches all fields (name, description) not just node names',
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'FUZZY mode with very short queries (1-2 chars) may return unexpected results',
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'Exact matches in quotes are case-sensitive'
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],
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relatedTools: ['list_nodes', 'get_node_essentials']
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relatedTools: ['list_nodes for browsing by category', 'get_node_essentials to configure found nodes', 'list_ai_tools for AI-specific search']
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}
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};
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