MCP Connect

📋 Overview:

This webpage is a GitHub repository for a tool called MCP-connect, designed to bridge the gap between cloud-based AI services and local Stdio-based Model Context Protocol (MCP) servers. The tool enables cloud services to interact with local resources securely and flexibly, supporting various MCP servers without modification.

⭐ Key Points:
* MCP Connect facilitates cloud AI tools accessing local MCP servers.
* It translates HTTP/HTTPS requests to Stdio communication.
* It offers built-in Ngrok tunnel support for public URLs.
* It uses token-based authentication for security.

* It requires Node.js and several environment variables for configuration.

🔍 Main Findings:
* The core functionality involves enabling cloud-based AI services to use local Stdio based MCP servers.
* The tool addresses the limitation of Stdio transport, which restricts MCP server use in cloud applications.

* MCP Connect provides a bridge with protocol translation, security features, and ease of use.

📊 Details:
* Technology: Node.js
* License: MIT
* Core Functionality: Enables AI cloud services to access local MCP servers, translating communication protocols.
* Configuration: Requires environment variables such as AUTHTOKEN, PORT, LOGLEVEL and NGROKAUTHTOKEN (optional).
* API Endpoints: Exposes GET /health for health checks and POST /bridge for request handling.

* Usage: Provides instructions for quick start, running with Ngrok tunnel, and API endpoint examples.

🎯 Conclusion:
MCP-connect aims to solve the problem of local MCP servers not being directly accessible to cloud-based applications by providing a bridge that translates protocols and enables secure communication. The tool supports easy integration and deployment, enhancing the usability of local MCP resources in cloud environments.