Active

n8n-mcp

A MCP for Claude Desktop / Claude Code / Windsurf / Cursor to build n8n workflow

The n8n MCP Server exposes n8n's 500+ nodes and workflow API to your AI. You can say "build a workflow that summarises yesterday's new Stripe orders into Slack every morning" and the AI looks up the node parameters, assembles the JSON, and creates the workflow.

What it really saves is documentation time — every n8n node has a different parameter shape, so building anything complex by hand means constant doc lookups. This server ships the node definitions, so the AI gets an accurate parameter schema instead of guessing.

Automation & Productivity

GitHub ↗

TrustScore

✅ No clear abandonment signal detected; complete security and compatibility checks before production use

Why use it

Good for: people already running n8n who find canvas-dragging slow, and for having the AI debug workflows that failed.

Before connecting: it can create and modify workflows, which means giving the AI write access to your automation. Point it at a test instance first rather than production.

Before you connect

🔑 Needs an API key / tokenNode.jsPython

Install / Connect

# No npm package — install from source.
# See the repo's README for the exact command:
# https://github.com/czlonkowski/n8n-mcp

Follow the official README; env and args vary per server.

🛠️ Maintenance weight 30% · 85 pts

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Last commit1 days ago

📈

Commits in 90 days100

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Recent issues with replies25%

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Repo statusNormal

📊 Adoption weight 25% · 76 pts

⭐

GitHub stars22.7k (90d +0%)

📦

npm weekly downloadsNot npm-distributed

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Releases per month—

✅ Usability weight 20% · 20 pts

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Official registryNot listed

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Runnable entryNot resolvable

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AuditabilityOpen-source repo, auditable

❤️ Health & community weight 25% · 84 pts

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open issues58

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open PRs—

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LicenseMIT

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Contributors / forks30 / 3.6k

Sources: GitHub API · updated 2026-08-19

90-day trend

⭐ stars +0%

Frequently Asked Questions

Does it need n8n Cloud, or does self-hosted work?

Either. It talks to n8n's API, so both cloud and self-hosted instances work — you supply the instance URL and an API key.

Can the AI actually run workflows?

Yes, it can trigger executions and read execution history to diagnose failures. That's exactly why permissions should stay conservative.

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