Files
n8n-mcp-server/README.md
rhys-041 c01a97b6fb Add run_webhook tool for executing workflows via webhooks
This commit adds a new MCP tool, run_webhook, which allows executing n8n workflows via webhooks instead of using the API directly. This implementation:

1. Creates a new RunWebhookHandler class that:
   - Takes a workflowName parameter and automatically prepends "webhook/" to create the full path
   - Uses basic authentication from environment variables
   - Makes HTTP requests to the webhook endpoints and returns the responses

2. Adds new environment variables:
   - N8N_WEBHOOK_USERNAME: Username for webhook basic authentication
   - N8N_WEBHOOK_PASSWORD: Password for webhook basic authentication

3. Updates server configuration and handlers to register and expose the new tool

4. Adds comprehensive documentation in:
   - execution-tools.md with examples and schema
   - README.md with configuration and usage information

This provides a simpler alternative to the API-based workflow execution, allowing Claude to trigger n8n webhooks directly.

🤖 Generated with [Claude Code](https://claude.ai/code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-03-27 15:32:10 -04:00

3.9 KiB

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 URL of the n8n API http://localhost:5678/api/v1
N8N_API_KEY API key for authenticating with n8n n8n_api_...
N8N_WEBHOOK_USERNAME Username for webhook authentication username
N8N_WEBHOOK_PASSWORD Password for webhook authentication password
DEBUG Enable debug logging (optional) true or false

Generating an n8n API Key

  1. Open your n8n instance in a browser
  2. Go to Settings > API > API Keys
  3. Create a new API key with appropriate permissions
  4. 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

To use this MCP server with AI assistants, you need to register it with your AI assistant platform. The exact method depends on the platform you're using.

For example, with the MCP installer:

npx @anaisbetts/mcp-installer

Then register the server:

install_local_mcp_server path/to/n8n-mcp-server

Available Tools

The server provides the following tools:

Using Webhooks

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

  1. Create a webhook-triggered workflow in n8n.
  2. Set up Basic Authentication on your webhook node.
  3. 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