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2026-03-23n8nMCPClaude Codeworkflow automationno-codeopen source

This tool turns Claude into an n8n expert — instantly

n8n-MCP gives Claude full knowledge of 1,084 automation nodes. A workflow that took 45 minutes now takes 3 — with zero errors. 16K GitHub stars.


Building automation workflows in n8n (the popular open-source alternative to Zapier) usually means dragging nodes around, checking documentation, and debugging connection errors for 30-45 minutes. A new tool called n8n-MCP just changed that: it feeds Claude the complete documentation for all 1,084 n8n nodes, so the AI can build workflows for you in minutes — with zero errors.

The project just crossed 16,000 GitHub stars and is trending today. Here's why automation builders are paying attention.

45 minutes → 3 minutes, zero errors

The creator tested a real scenario: building a HackerNews scraper workflow in n8n. The results tell the story:

Without n8n-MCP: 45 minutes to create the workflow, 6 errors Claude had to fix because it didn't understand n8n's node structure

With n8n-MCP: 3 minutes, zero errors — Claude knew exactly which nodes to use, how to configure them, and what properties each one expected

The difference? MCP (Model Context Protocol) is a standard that lets AI assistants access external knowledge sources. n8n-MCP uses this protocol to give Claude — or any compatible AI — instant access to n8n's complete node library, including property schemas, operation details, and 2,709 pre-built workflow templates.

n8n-MCP integration connecting Claude AI with n8n workflow automation

What Claude actually knows after connecting

Once you connect n8n-MCP, Claude gets access to an enormous knowledge base about automation:

1,084 nodes — 537 official + 547 community-built automation components

99% property coverage — Claude knows every setting, every dropdown option, every field

2,709 workflow templates — proven patterns for common automations

265 AI-capable tool variants — special nodes designed for AI integration

87% documentation coverage — nearly the entire official n8n docs

In practical terms: you can tell Claude "Build me a workflow that monitors my Gmail for invoices, extracts the total from each PDF attachment, and logs it to a Google Sheet" — and it generates a working n8n workflow with the correct nodes, credentials setup instructions, and error handling.

Four ways to get started

The simplest option requires zero setup — just use the hosted version:

# Option 1: Hosted (no setup, free tier: 100 calls/day)
# Visit dashboard.n8n-mcp.com

# Option 2: Run locally with one command
npx n8n-mcp

# Option 3: Docker (ultra-optimized, ~280MB)
docker pull ghcr.io/czlonkowski/n8n-mcp:latest

# Option 4: One-click cloud deploy on Railway
# Use the deploy button on GitHub

For Claude Desktop users, add this to your MCP configuration:

{
  "mcpServers": {
    "n8n-mcp": {
      "command": "npx",
      "args": ["n8n-mcp"],
      "env": { "MCP_MODE": "stdio" }
    }
  }
}

It works with Claude Desktop, Claude Code, Cursor, Windsurf, and 20+ other AI tools that support MCP.

Who this actually helps

If you build automations — whether for your team, your clients, or yourself — this eliminates the biggest bottleneck: figuring out which n8n nodes to use and how to configure them. Claude handles that instantly.

If you're new to n8n — this is like having an expert sitting next to you. Describe what you want automated in plain English, and Claude builds it.

If you sell automation services — workflows that took an hour to prototype now take minutes. That's a direct impact on how many clients you can serve.

⚠️ Safety note from the creator: Never let AI edit production workflows directly. Always make copies first, test in a development environment, and export backups before deploying changes.

The project is open-source under the MIT license, with a free hosted tier offering 100 tool calls per day. View the full repository at github.com/czlonkowski/n8n-mcp and the dashboard at n8n-mcp.com.

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