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.

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

1. Install the package

   npm install @dopehunter/n8n-mcp-server

2. Create a .env file

   cp .env.example .env

3. 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)

4. Start the server

   npm start

5. 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":{}}'

• 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.

• 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

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

{
  "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"]
    }
  }
}

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

npm install @dopehunter/n8n-mcp-server

npx @dopehunter/n8n-mcp-server

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

Start the development server:

npm run start:dev

Build the project:

npm run build

Run tests:

npm test

1. Start the MCP server:

   npm start
   

2. 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).

3. Your LLM can now use n8n workflows directly through MCP commands.

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

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

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

This project is licensed under the ISC License.