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N8n

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MCP server giving AI assistants full access to n8n nodes and templates.

MCP ServerDeveloper ToolsLocal (stdio) 21.8k
View on GitHub
Updated 2026-06-15

What is the N8n MCP server?

The server supplies structured data on core and community nodes, operations, AI-capable tools, and real-world workflow examples. It supports Claude Desktop, Cursor, Windsurf, and similar IDEs via stdio transport.

Users can discover nodes, validate configurations, and reference templates without leaving their AI environment. Self-hosting options include npx, Docker, and Railway.

Install & connect

Set up this server, then add it to your MCP client.

Full setup instructions are in the GitHub repository.

Example prompts

Once connected, try asking your AI client:

“List all AI-capable nodes with full documentation
“Find verified community nodes for Google Sheets
“Show me the top-rated templates that use the HTTP Request node
“Validate this node configuration for the Slack node

Security & permissions

Runs locally via stdio; requires no remote API keys but can access your n8n instance data when configured.

What you can do with N8n

Workflow design

Ask the AI to explore nodes and generate valid n8n workflow JSON from templates or scratch.

Node research

Query detailed properties, operations, and documentation for any of the 1,851 supported nodes.

Template discovery

Search the library of 2,352 workflow templates and adapt ranked examples to new projects.

How to use N8n

  1. 1Install via npm or Docker using the provided images.
  2. 2Add the MCP server entry to your Claude Desktop or IDE config.
  3. 3Restart the client so the stdio connection is established.
  4. 4Use the dashboard at dashboard.n8n-mcp.com for a hosted option.
  5. 5Follow the IDE-specific setup guides for Cursor, Windsurf, or VS Code.

N8n: pros & cons

Pros

  • +Extensive coverage of 1,851 nodes and 2,352 templates
  • +Works with multiple popular AI IDEs and Claude
  • +Includes real template examples and validation helpers

Cons

  • –No explicit tool list published in the README
  • –Requires separate n8n instance for execution
  • –AI-generated workflows still need manual review
Did you find this helpful?

Frequently asked questions

No, the MCP server itself uses local stdio and optional self-hosted deployment.

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