# n8n MCP Server

> Use this tool when you need to integrate Large Language Models with n8n automation instances, enabling natural language commands for workflow management and execution. It solves problems of automating tasks and managing credentials through a secure and intuitive interface, accepting natural language inputs and producing automated workflow outputs. Ideal for use cases requiring seamless interaction between AI models and automation workflows.

Canonical page: https://skillsregistry.net/skills/guinness77-n8n-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/guinness77-n8n-mcp-server

## Description

Enables Large Language Models to interact with n8n automation instances through the Model Context Protocol. Supports workflow management, execution, credentials handling, and security audits through natural language commands.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** security
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b22lkjt9at)
- **Repository:** <https://github.com/guinness77/n8n-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "guinness77-n8n-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/guinness77-n8n-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/guinness77-n8n-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt