n8n MCP Bridge

Documentation

Complete guide to n8n MCP Bridge

Welcome to n8n MCP Bridge

n8n MCP Bridge enables AI assistants like Claude to interact with your n8n workflows through the Model Context Protocol (MCP).

What is n8n MCP Bridge?

This platform provides a secure, multi-tenant MCP server that connects AI assistants to n8n workflow automation. It handles authentication, API key management, and OAuth 2.1 integration, making it easy to give your AI assistant access to powerful workflow automation capabilities.

Key Features

  • MCP Protocol Support - Full implementation of the Model Context Protocol
  • Multi-tenant Architecture - Secure isolation between users and connections
  • OAuth 2.1 Authentication - Industry-standard secure authentication
  • Memory System - Persistent context for AI conversations
  • n8n Integration - Direct access to 525+ n8n workflow nodes

Quick Start

Get up and running in 5 minutes:

  1. Install and Setup
  2. Authenticate with Google or GitHub
  3. Create Your First API Key
  4. Connect to Claude Desktop

Documentation Sections

Getting Started

New to n8n MCP Bridge? Start here to set up your first connection and learn the basics.

View Getting Started Guide →

Features

Explore the platform's capabilities including API key management, OAuth clients, memory system, and more.

Browse Features →

Tools Reference

Detailed documentation of all available MCP tools and their usage.

View Tools Reference →

Guides

Step-by-step tutorials for common tasks and integrations.

Read Guides →

Need Help?

Architecture Overview

The n8n MCP Bridge consists of three main components:

  1. Web Application (Next.js) - User dashboard, authentication, and API management
  2. MCP Server (Express.js) - Handles MCP protocol communication
  3. PostgreSQL Database - Stores user data, API keys, and configurations

All communication is secured with API keys or OAuth 2.1, and sensitive data is encrypted at rest.

Next Steps

Ready to get started? Follow our Installation Guide to set up your local development environment or deploy to production.

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