n8n MCP Server Integration

What does “n8n” MCP Server do?

The n8n MCP Server is a Model Context Protocol (MCP) server that enables seamless integration between AI assistants and the n8n automation platform through its API. By acting as a bridge, the n8n MCP Server allows AI agents and large language models (LLMs) to interact with external workflows, automate tasks, and query or trigger automations in real-time. This enhances development workflows by allowing developers to perform actions such as managing n8n workflows, retrieving execution histories, and interacting with n8n resources programmatically. As a result, the n8n MCP Server streamlines the process of connecting AI agents to powerful automation capabilities, making it easier to build sophisticated, automated solutions that leverage both AI and workflow automation.

List of Prompts

No information about prompt templates was found in the repository.

List of Resources

No explicit MCP resources could be confirmed from the repository files.

List of Tools

No direct list of MCP tools could be found in the available code or documentation.

Use Cases of this MCP Server

• Workflow Automation: Enable AI assistants to trigger, manage, or query n8n workflows, allowing for automated handling of repetitive tasks.
• Execution Monitoring: Retrieve and monitor execution histories of workflows, providing developers with real-time insights into automation runs.
• Integration with External APIs: Use n8n’s automation capabilities in conjunction with AI agents to connect to various third-party APIs and automate data flows.
• Automated Troubleshooting: Allow AI agents to diagnose and restart failed workflows or executions, improving reliability and uptime.
• Process Orchestration: Coordinate complex processes by combining AI-driven decision-making with n8n’s robust automation engine.

How to set it up

Windsurf

1. Ensure you have Node.js installed.
2. Locate your Windsurf configuration file.
3. Add the n8n MCP Server to the mcpServers section with the following JSON snippet:

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

4. Save the configuration file and restart Windsurf.
5. Verify the server is running by checking the service status.

Securing API Keys

Store sensitive API keys using environment variables. Example:

{
  "env": {
    "N8N_API_KEY": "your_api_key_here"
  },
  "inputs": {
    "apiKey": "${env.N8N_API_KEY}"
  }
}

Claude

1. Install Node.js if not already present.
2. Open the Claude configuration file.
3. Insert the n8n MCP Server entry under mcpServers:

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

4. Save and restart Claude.
5. Confirm the setup via Claude’s interface.

Cursor

1. Confirm Node.js is installed.
2. Edit Cursor’s configuration file.
3. Add the n8n MCP Server as follows:

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

4. Save changes and restart Cursor.
5. Check logs for successful connection.

Cline

1. Install Node.js if required.
2. Access the Cline configuration.
3. Add the MCP server entry:

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

4. Save and restart Cline.
5. Validate by running a test workflow through the MCP server.

How to use this MCP inside flows

Using MCP in FlowHunt

To integrate MCP servers into your FlowHunt workflow, start by adding the MCP component to your flow and connecting it to your AI agent:

Click on the MCP component to open the configuration panel. In the system MCP configuration section, insert your MCP server details using this JSON format:

{
  "n8n-mcp-server": {
    "transport": "streamable_http",
    "url": "https://yourmcpserver.example/pathtothemcp/url"
  }
}

Once configured, the AI agent is now able to use this MCP as a tool with access to all its functions and capabilities. Remember to change “n8n-mcp-server” to whatever the actual name of your MCP server is and replace the URL with your own MCP server URL.

Overview

Based on the information available, the n8n MCP Server provides a foundational bridge for automation but lacks detailed documentation on prompts, resources, and tools within the repository. It covers core setup and usage well but could benefit from expanded documentation for broader adoption.

MCP Score

Rating:
Based on the two tables, I would rate this MCP server a 5/10. It has core setup, licensing, and a clear use case, but lacks documentation on actual MCP tools, resources, and prompt templates which are essential for a higher utility and adoption score.