remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

Integrations

Uses .env files for configuration of the MCP server, allowing setting of n8n API URL, API key, and debug options.
Used for cloning the repository during source installation of the MCP server.
Provides access to the source code repository for manual installation and development of the MCP server.

n8n MCP Server

A Model Context Protocol (MCP) server that allows AI assistants to interact with n8n workflows through natural language.

Overview

This MCP server provides tools and resources for AI assistants to manage n8n workflows and executions. It allows assistants to:

List, create, update, and delete workflows
Activate and deactivate workflows
Execute workflows and monitor their status
Access workflow information and execution statistics

Installation

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 .

Configuration

Create a .env file in the directory where you'll run the server, using .env.example as a template:

cp .env.example .env

Configure the following environment variables:

Variable	Description	Example
`N8N_API_URL`	Full URL of the n8n API, including `/api/v1`	`http://localhost:5678/api/v1`
`N8N_API_KEY`	API key for authenticating with n8n	`n8n_api_...`
`N8N_WEBHOOK_USERNAME`	Username for webhook authentication (if using webhooks)	`username`
`N8N_WEBHOOK_PASSWORD`	Password for webhook authentication	`password`
`DEBUG`	Enable debug logging (optional)	`true` or `false`

Generating an n8n API Key

Open your n8n instance in a browser
Go to Settings > API > API Keys
Create a new API key with appropriate permissions
Copy the key to your .env file

Usage

Running the Server

From the installation directory:

n8n-mcp-server

Or if installed globally:

n8n-mcp-server

Integrating with AI Assistants

After building the server (npm run build), you need to configure your AI assistant (like VS Code with the Claude extension or the Claude Desktop app) to run it. This typically involves editing a JSON configuration file.

Example Configuration (e.g., in VS Code settings.json or Claude Desktop claude_desktop_config.json):

{
  "mcpServers": {
    // Give your server a unique name
    "n8n-local": {
      // Use 'node' to execute the built JavaScript file
      "command": "node",
      // Provide the *absolute path* to the built index.js file
      "args": [
        "/path/to/your/cloned/n8n-mcp-server/build/index.js"
        // On Windows, use double backslashes:
        // "C:\\path\\to\\your\\cloned\\n8n-mcp-server\\build\\index.js"
      ],
      // Environment variables needed by the server
      "env": {
        "N8N_API_URL": "http://your-n8n-instance:5678/api/v1", // Replace with your n8n URL
        "N8N_API_KEY": "YOUR_N8N_API_KEY", // Replace with your key
        // Add webhook credentials only if you plan to use webhook tools
        // "N8N_WEBHOOK_USERNAME": "your_webhook_user",
        // "N8N_WEBHOOK_PASSWORD": "your_webhook_password"
      },
      // Ensure the server is enabled
      "disabled": false,
      // Default autoApprove settings
      "autoApprove": []
    }
    // ... other servers might be configured here
  }
}

Key Points:

Replace /path/to/your/cloned/n8n-mcp-server/ with the actual absolute path where you cloned and built the repository.
Use the correct path separator for your operating system (forward slashes / for macOS/Linux, double backslashes \\ for Windows).
Ensure you provide the correct N8N_API_URL (including /api/v1) and N8N_API_KEY.
The server needs to be built (npm run build) before the assistant can run the build/index.js file.

Available Tools

The server provides the following tools:

Using Webhooks

This MCP server supports executing workflows through n8n webhooks. To use this functionality:

Create a webhook-triggered workflow in n8n.
Set up Basic Authentication on your webhook node.
Use the run_webhook tool to trigger the workflow, passing just the workflow name.

Example:

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

The webhook authentication is handled automatically using the N8N_WEBHOOK_USERNAME and N8N_WEBHOOK_PASSWORD environment variables.

Workflow Management

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

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

The server provides the following resources:

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

Development

Building

npm run build

Running in Development Mode

npm run dev

Testing

npm test

Linting

npm run lint

License

MIT

This server cannot be installed

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A Model Context Protocol server that enables AI assistants to interact with n8n workflows through natural language, supporting actions like listing, creating, updating, executing and monitoring workflows.