N8n Mcp Server: A Model Context Protocol (MCP) server that provides seamless integration with the n8n API. Manage your n8n workflows, executions, and credentials through natural language using Claude AI.

Overview

A Model Context Protocol (MCP) server that provides seamless integration with the n8n API. Manage your n8n workflows, executions, and credentials through natural language using Claude AI.

This project provides a comprehensive solution for integrating with n8n through the Model Context Protocol (MCP), enabling seamless automation and management capabilities.

Key Features

• Full API Integration: Complete coverage of the n8n API
• Model Context Protocol: Built on the MCP standard for AI assistant integration
• Easy Configuration: Simple setup with environment variables
• Type-Safe: Comprehensive type definitions for all API operations
• Error Handling: Robust error handling and validation

Use Cases

This server enables various use cases including:

1. Automated Management: Streamline routine operations and reduce manual work
2. AI-Powered Operations: Let Claude AI assist with complex tasks
3. Integration Workflows: Connect with other tools and services
4. Monitoring & Alerts: Track status and receive notifications

Technical Architecture

Built with modern Python and following MCP best practices, this server provides a reliable bridge between AI assistants and the n8n platform.

Core Components

• API Client: Handles all communication with the n8n API
• MCP Server: Implements the Model Context Protocol specification
• Tool Registry: Exposes available operations to AI assistants
• Configuration Manager: Manages credentials and settings

Getting Started

Check out the setup guide for detailed installation instructions.

Quick start:

pip install n8n-mcp-server

Configure your environment variables and start using it with Claude Desktop or any MCP-compatible client.

Community & Support

This project is open source and welcomes contributions. Visit the GitHub repository to:

• Report issues
• Submit pull requests
• Request features
• Star the project

What’s Next?

Future enhancements planned:

• Additional API endpoints
• Enhanced error handling
• Performance optimizations
• Extended documentation

Join us in building better AI-powered automation tools!