n8n-mcp
Description
[](https://opensource.org/licenses/MIT) [](https://github.com/czlonkowski/n8n-mcp) [](https://www.npmjs.com/package/n8n-mcp) [](https://codecov.io/gh/czlonkowski/n8n-mcp) [](https://github.com/czlonkowski/n8n-mcp/actions)
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
n8n-MCP
[](https://opensource.org/licenses/MIT) [](https://github.com/czlonkowski/n8n-mcp) [](https://www.npmjs.com/package/n8n-mcp) [](https://codecov.io/gh/czlonkowski/n8n-mcp) [](https://github.com/czlonkowski/n8n-mcp/actions) [](https://github.com/n8n-io/n8n) [](https://github.com/czlonkowski/n8n-mcp/pkgs/container/n8n-mcp) [](https://railway.com/deploy/n8n-mcp?referralCode=n8n-mcp)
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 1,396 workflow automation nodes (812 core + 584 community).
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:
- 📚 1,396 n8n nodes - 812 core nodes + 584 community nodes (516 verified)
- 🔧 Node properties - 99% coverage with detailed schemas
- ⚡ Node operations - 63.6% coverage of available actions
- 📄 Documentation - 87% coverage from official n8n docs (including AI nodes)
- 🤖 AI tools - 265 AI-capable tool variants detected with full documentation
- 💡 Real-world examples - 2,646 pre-extracted configurations from popular templates
- 🎯 Template library - 2,709 workflow templates with 100% metadata coverage
- 🌐 Community nodes - Search verified community integrations with
sourcefilter (NEW!)
⚠️ Important Safety Warning
**NEVER edit your production workflows directly with AI!** Always:
- 🔄 Make a copy of your workflow before using AI tools
- 🧪 Test in development environment first
- 💾 Export backups of important workflows
- ⚡ Validate changes before deploying to production
AI results can be unpredictable. Protect your work!
🚀 Quick Start
Option 1: Hosted Service (Easiest - No Setup!) ☁️
...
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[Building agent skills blog](https://www.anthropic.com/engineering/equipping-agents-for-the-real-world-with-ag
Git #148
, [#161](https://github.com/affaan-m/everything-claude-code/pull/161))
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