n8n MCP server

The n8n MCP Server allows AI assistants to interact with n8n workflows through natural language. It serves as a bridge between AI systems and n8n, enabling workflow management and execution through simple commands without requiring direct access to the n8n interface.

Installation Options

Prerequisites

• Node.js 18 or later
• n8n instance with API access enabled

Install from npm

npm install -g n8n-mcp-server

Install from Source

# Clone the repository
git clone https://github.com/leonardsellem/n8n-mcp-server.git
cd n8n-mcp-server

# Install dependencies
npm install

# Build the project
npm run build

# Optional: Install globally
npm install -g .

Docker Installation

# Pull the image
docker pull leonardsellem/n8n-mcp-server

# Run the container with your n8n API configuration
docker run -e N8N_API_URL=http://your-n8n:5678/api/v1 \
  -e N8N_API_KEY=your_n8n_api_key \
  -e N8N_WEBHOOK_USERNAME=username \
  -e N8N_WEBHOOK_PASSWORD=password \
  leonardsellem/n8n-mcp-server

Configuration

Create a .env file in your server directory:

cp .env.example .env

Configure these environment variables:

Generating an n8n API Key

1. Open your n8n instance
2. Go to Settings > API > API Keys
3. Create a new API key
4. Copy the key to your .env file

Running the Server

Start the server after installation:

n8n-mcp-server

Integrating with AI Assistants

Configure your AI assistant (like VS Code with Claude extension or Claude Desktop app) to use the server:

{
  "mcpServers": {
    "n8n-local": {
      "command": "node",
      "args": [
        "/path/to/your/cloned/n8n-mcp-server/build/index.js"
        // On Windows, use: "C:\\path\\to\\your\\cloned\\n8n-mcp-server\\build\\index.js"
      ],
      "env": {
        "N8N_API_URL": "http://your-n8n-instance:5678/api/v1",
        "N8N_API_KEY": "YOUR_N8N_API_KEY"
        // Optional webhook credentials
        // "N8N_WEBHOOK_USERNAME": "your_webhook_user",
        // "N8N_WEBHOOK_PASSWORD": "your_webhook_password"
      },
      "disabled": false,
      "autoApprove": []
    }
  }
}

Important notes:

• Use absolute paths to the built index.js file
• Ensure the server is built (npm run build) before configuring
• Update paths with correct separators for your OS

Available Features

Using Webhooks

To execute workflows through n8n webhooks:

1. Create a webhook-triggered workflow in n8n
2. Configure Basic Authentication on your webhook node
3. Use the run_webhook tool to trigger the workflow

Example:

const result = await useRunWebhook({
  workflowName: "hello-world", // Will call <n8n-url>/webhook/hello-world
  data: {
    prompt: "Hello from AI assistant!"
  }
});

Workflow Management Tools

• workflow_list: List all workflows
• workflow_get: Get details of a specific workflow
• workflow_create: Create a new workflow
• workflow_update: Update an existing workflow
• workflow_delete: Delete a workflow
• workflow_activate: Activate a workflow
• workflow_deactivate: Deactivate a workflow

Execution Management Tools

• execution_run: Execute a workflow via the API
• run_webhook: Execute a workflow via a webhook
• execution_get: Get details of a specific execution
• execution_list: List executions for a workflow
• execution_stop: Stop a running execution

Resources

Access these resources through the MCP protocol:

• n8n://workflows/list: List of all workflows
• n8n://workflow/{id}: Details of a specific workflow
• n8n://executions/{workflowId}: List of executions for a workflow
• n8n://execution/{id}: Details of a specific execution

How to add this MCP server to Cursor

There are two ways to add an MCP server to Cursor. The most common way is to add the server globally in the ~/.cursor/mcp.json file so that it is available in all of your projects.

If you only need the server in a single project, you can add it to the project instead by creating or adding it to the .cursor/mcp.json file.

Adding an MCP server to Cursor globally

To add a global MCP server go to Cursor Settings > MCP and click "Add new global MCP server".

When you click that button the ~/.cursor/mcp.json file will be opened and you can add your server like this:

{
    "mcpServers": {
        "cursor-rules-mcp": {
            "command": "npx",
            "args": [
                "-y",
                "cursor-rules-mcp"
            ]
        }
    }
}

Adding an MCP server to a project

To add an MCP server to a project you can create a new .cursor/mcp.json file or add it to the existing one. This will look exactly the same as the global MCP server example above.

How to use the MCP server

Once the server is installed, you might need to head back to Settings > MCP and click the refresh button.

The Cursor agent will then be able to see the available tools the added MCP server has available and will call them when it needs to.

You can also explictly ask the agent to use the tool by mentioning the tool name and describing what the function does.