📌Overview

Purpose: To facilitate seamless management of n8n workflows within LLMs and AI agents using the Smithery Model Context Protocol (MCP).

Overview: The n8n MCP Server acts as a bridge allowing AI systems to interact with and manage workflows from the n8n automation platform, enhancing the versatility and functionality of AI agents by integrating with workflow automation.

Key Features:

Workflow Management: List and view details of available n8n workflows, allowing users to efficiently manage their automation tasks.
Execution Control: Execute workflows and monitor their execution history, making it easier to handle job tracking and workflow success.
Parameter Passing: Pass parameters to workflows during execution, granting flexibility in how workflows can be utilized based on dynamic input from AI agents.
MCP compatibility: Provides a standardized interface for AI agents, ensuring integration with the Model Context Protocol and facilitating communication between systems.

n8n MCP Server

A Model Context Protocol (MCP) server that enables seamless management of n8n workflows directly within LLMs and AI agents through the Smithery Model Context Protocol.

Features

List available workflows from n8n
View workflow details
Execute workflows
Monitor workflow executions
Pass parameters to workflows
MCP-compatible interface for AI agents

Prerequisites

Node.js (v14+)
n8n instance with API access
An LLM or AI agent that supports the Model Context Protocol

Getting Started

Quick Start

Install the package
```
npm install @dopehunter/n8n-mcp-server
```
Create a .env file
```
cp .env.example .env
```
Configure your n8n connection
Edit the .env file and set:
- N8N_BASE_URL: URL to your n8n instance (e.g., http://localhost:5678/api)
- N8N_API_KEY: Your n8n API key (generate this in n8n settings)
Start the server
```
npm start
```

Test the server

curl -X POST http://localhost:3000/mcp -H "Content-Type: application/json" \
  -d '{"jsonrpc":"2.0","id":"1","method":"mcp.tools.list","params":{}}'

Common Issues and Troubleshooting

Connection Refused Errors: Make sure your n8n instance is running and accessible at the URL specified in N8N_BASE_URL
API Key Issues: Verify your n8n API key is correct and has appropriate permissions
Docker Issues: Ensure Docker is running before attempting to build or run the Docker image

For more detailed troubleshooting, see the Troubleshooting Guide.

Components

Tools

n8n_list_workflows
- List all workflows in the n8n instance
- Input: None
n8n_get_workflow
- Get details of a specific workflow
- Input: workflowId (string, required): ID of the workflow to retrieve
n8n_execute_workflow
- Execute an n8n workflow
- Inputs:
  - workflowId (string, required): ID of the workflow to execute
  - data (object, optional): Data to pass to the workflow
n8n_get_executions
- Get execution history for a workflow
- Inputs:
  - workflowId (string, required): ID of the workflow to get executions for
  - limit (number, optional): Maximum number of executions to return
n8n_activate_workflow
- Activate a workflow
- Input: workflowId (string, required): ID of the workflow to activate
n8n_deactivate_workflow
- Deactivate a workflow
- Input: workflowId (string, required): ID of the workflow to deactivate

Configuration Options

Docker Configuration

{
  "mcpServers": {
    "n8n": {
      "command": "docker",
      "args": ["run", "-i", "--rm", "--init", "-e", "N8N_API_KEY=$N8N_API_KEY", "-e", "N8N_BASE_URL=$N8N_BASE_URL", "mcp/n8n-mcp-server"]
    }
  }
}

NPX Configuration

{
  "mcpServers": {
    "n8n": {
      "command": "npx",
      "args": ["-y", "@dopehunter/n8n-mcp-server"]
    }
  }
}

Installation

NPM

npm install @dopehunter/n8n-mcp-server

Direct Usage with npx

npx @dopehunter/n8n-mcp-server

From Source

git clone https://github.com/dopehunter/n8n_MCP_server_complete.git
cd n8n_MCP_server_complete
npm install
cp .env.example .env
# Edit the .env file with your n8n API details

Development

Start the development server:

npm run start:dev

Build the project:

npm run build

Run tests:

npm test

Usage With Claude or Other LLMs

Start the MCP server:
```
npm start
```
Configure your LLM client to use the MCP server:
- For Claude Desktop, use the configuration from the Configuration Options section.
- For other clients, point to the server URL (e.g., http://localhost:3000/mcp).
Your LLM can now use n8n workflows directly through MCP commands.

Building Docker Image

docker build -t mcp/n8n-mcp-server .

API Documentation

See the API Documentation for details on the available MCP functions.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the ISC License.