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https://github.com/czlonkowski/n8n-mcp.git
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6e24da722b
- Implement OpenAI batch API integration for metadata generation - Add metadata columns to database schema (metadata_json, metadata_generated_at) - Create MetadataGenerator service with structured output schemas - Create BatchProcessor for handling OpenAI batch jobs - Add --generate-metadata flag to fetch-templates script - Update template repository with metadata management methods - Add OpenAI configuration to environment variables - Include comprehensive tests for metadata generation - Use gpt-4o-mini model with 50% cost savings via batch API 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>
109 lines
3.3 KiB
Plaintext
109 lines
3.3 KiB
Plaintext
# n8n Documentation MCP Server Configuration
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# ====================
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# COMMON CONFIGURATION
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# ====================
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# Database Configuration
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# For local development: ./data/nodes.db
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# For Docker: /app/data/nodes.db
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# Custom paths supported in v2.7.16+ (must end with .db)
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NODE_DB_PATH=./data/nodes.db
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# Logging Level (debug, info, warn, error)
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MCP_LOG_LEVEL=info
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# Node Environment (development, production)
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NODE_ENV=development
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# Rebuild database on startup (true/false)
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REBUILD_ON_START=false
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# =========================
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# LOCAL MODE CONFIGURATION
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# =========================
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# Used when running: npm run start:v2 or npm run dev:v2
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# Local MCP Server Configuration
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MCP_SERVER_PORT=3000
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MCP_SERVER_HOST=localhost
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# MCP_AUTH_TOKEN=optional-for-local-development
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# =========================
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# SIMPLE HTTP MODE
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# =========================
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# Used for private single-user deployments
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# Server mode: stdio (local) or http (remote)
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MCP_MODE=stdio
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# Use fixed HTTP implementation (recommended for stability)
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# Set to true to bypass StreamableHTTPServerTransport issues
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USE_FIXED_HTTP=true
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# HTTP Server Configuration (only used when MCP_MODE=http)
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PORT=3000
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HOST=0.0.0.0
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# Base URL Configuration (optional)
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# Set this when running behind a proxy or when the server is accessed via a different URL
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# than what it binds to. If not set, URLs will be auto-detected from proxy headers (if TRUST_PROXY is set)
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# or constructed from HOST and PORT.
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# Examples:
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# BASE_URL=https://n8n-mcp.example.com
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# BASE_URL=https://your-domain.com:8443
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# PUBLIC_URL=https://n8n-mcp.mydomain.com (alternative to BASE_URL)
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# Authentication token for HTTP mode (REQUIRED)
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# Generate with: openssl rand -base64 32
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AUTH_TOKEN=your-secure-token-here
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# CORS origin for HTTP mode (optional)
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# Default: * (allow all origins)
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# For production, set to your specific domain
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# CORS_ORIGIN=https://your-client-domain.com
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# Trust proxy configuration for correct IP logging (0=disabled, 1=trust first proxy)
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# Set to 1 when running behind a reverse proxy (Nginx, Traefik, etc.)
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# Set to the number of proxy hops if behind multiple proxies
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# Default: 0 (disabled)
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# TRUST_PROXY=0
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# =========================
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# N8N API CONFIGURATION
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# =========================
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# Optional: Enable n8n management tools by providing API credentials
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# These tools allow creating, updating, and executing workflows
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# n8n instance API URL (without /api/v1 suffix)
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# Example: https://your-n8n-instance.com
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# N8N_API_URL=
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# n8n API Key (get from Settings > API in your n8n instance)
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# N8N_API_KEY=
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# n8n API request timeout in milliseconds (default: 30000)
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# N8N_API_TIMEOUT=30000
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# Maximum number of API request retries (default: 3)
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# N8N_API_MAX_RETRIES=3
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# =========================
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# OPENAI API CONFIGURATION
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# =========================
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# Optional: Enable AI-powered template metadata generation
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# Provides structured metadata for improved template discovery
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# OpenAI API Key (get from https://platform.openai.com/api-keys)
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# OPENAI_API_KEY=
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# OpenAI Model for metadata generation (default: gpt-4o-mini)
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# OPENAI_MODEL=gpt-4o-mini
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# Batch size for metadata generation (default: 100)
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# Templates are processed in batches using OpenAI's Batch API for 50% cost savings
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# OPENAI_BATCH_SIZE=100
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# Enable metadata generation during template fetch (default: false)
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# Set to true to automatically generate metadata when running fetch:templates
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# METADATA_GENERATION_ENABLED=false |