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n8n Documentation MCP Server

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n8n Documentation MCP Server

n8n Documentation MCP Server

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n8n MCP Server provides AI assistants with structured access to n8n node documentation, properties, and validation tools for building and verifying workflows efficiently.

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n8n MCP Server

Important: This server provides only documentation capability for n8n nodes and does not support workflow management or execution.

Enhance your workflow automation with n8n-MCP, bridging AI and n8n nodes for streamlined efficiency, all without the need for monthly subscriptions! 🚀

About this MCP Server: To understand how to connect to and utilize this MCP server, please refer to the official Model Context Protocol documentation at mcp.apify.com.

Connection URL

MCP clients can connect to this server at:

https://mcp-servers--n8n-mcp-server.apify.actor/mcp

Client Configuration

To connect to this MCP server, use the following configuration in your MCP client:

{
"mcpServers": {
"n8n": {
"url": "https://mcp-servers--n8n-mcp-server.apify.actor/mcp",
"headers": {
"Authorization": "Bearer YOUR_APIFY_TOKEN"
}
}
}
}

Note: Replace YOUR_APIFY_TOKEN with your actual Apify API token. You can find your token in the Apify Console.

🚩 Claim this MCP server

All credits to the original authors of https://github.com/czlonkowski/n8n-mcp To claim this server, please write to ai@apify.com.


A Model Context Protocol (MCP) server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations. Deploy in minutes to give Claude and other AI assistants deep knowledge about n8n's 525+ workflow automation nodes.

Overview

n8n-MCP serves as a bridge between n8n's workflow automation platform and AI models, enabling them to understand and work with n8n nodes effectively. It provides structured access to:

  • 📚 535 n8n nodes from both n8n-nodes-base and @n8n/n8n-nodes-langchain
  • 📄 Documentation - 90% coverage from official n8n docs (including AI nodes)
  • 🤖 AI tools - 263 AI-capable nodes detected with full documentation

Key Insights

  • ANY node can be an AI tool - not just those with usableAsTool=true

Available Documentation Tools (No API Key Required)

  • tools_documentation - Get documentation for any MCP tool (START HERE!)
  • list_nodes - List all n8n nodes with filtering options
  • get_node_info - Get comprehensive information about a specific node
  • get_node_essentials - Get only essential properties with examples (10-20 properties instead of 200+)
  • search_nodes - Full-text search across all node documentation
  • search_node_properties - Find specific properties within nodes
  • list_ai_tools - List all AI-capable nodes (ANY node can be used as AI tool!)
  • get_node_as_tool_info - Get guidance on using any node as an AI tool
  • get_node_documentation - Get parsed documentation from n8n-docs
  • get_database_statistics - View database metrics and coverage

References

📚 Documentation

Setup Guides

  • ./docs/INSTALLATION.md - Comprehensive installation instructions
  • ./docs/README_CLAUDE_SETUP.md - Detailed Claude configuration
  • ./docs/DOCKER_README.md - Advanced Docker deployment options
  • ./docs/MCP_QUICK_START_GUIDE.md - Get started quickly with n8n-MCP

Feature Documentation

  • ./docs/workflow-diff-examples.md - Token-efficient workflow updates (NEW!)
  • ./docs/transactional-updates-example.md - Two-pass workflow editing
  • ./docs/MCP_ESSENTIALS_README.md - AI-optimized tools guide
  • ./docs/validation-improvements-v2.4.2.md - Smart validation profiles

Development & Deployment

  • ./docs/RAILWAY_DEPLOYMENT.md - One-click cloud deployment guide
  • ./docs/HTTP_DEPLOYMENT.md - Remote server setup guide
  • ./docs/DEPENDENCY_UPDATES.md - Keeping n8n packages in sync
  • ./docs/CLAUDE_INTERVIEW.md - Real-world impact of n8n-MCP

Project Information

  • ./CHANGELOG.md - Complete version history
  • ./CLAUDE.md - AI guidance for this codebase
  • MCP Tools Reference - Complete list of available tools

📊 Metrics & Coverage

Current database coverage (n8n v1.106.3):

  • ✅ 535/535 nodes loaded (100%)
  • ✅ 528 nodes with properties (98.7%)
  • ✅ 470 nodes with documentation (88%)
  • ✅ 267 AI-capable tools detected
  • ✅ AI Agent & LangChain nodes fully documented
  • âš¡ Average response time: ~12ms
  • 💾 Database size: ~15MB (optimized)

References