MCP Connect bridges the gap between cloud AI services and local Stdio-based MCP servers by translating HTTP/HTTPS requests, enabling cloud integration with local resources. MCP Connect bridges the gap between
MCP Connect is a tool designed to bridge the gap between cloud-based AI services and local Model Context Protocol (MCP) servers that use Stdio transport. It enables cloud AI tools to interact with local MCP servers by translating HTTP/HTTPS requests to Stdio communication.
Key features:
How it works:
MCP Connect acts as a bridge between cloud AI tools and local MCP servers, using tunnels to facilitate communication.
Quick Start:
.env file.npm install.npm run build and npm run start or npm run dev.API Endpoints:
GET /health: Health check endpoint.POST /bridge: Main bridge endpoint for receiving requests.MCP Connect uses token-based authentication and requires environment variables such as AUTH_TOKEN, PORT, LOG_LEVEL, and NGROK_AUTH_TOKEN. It can be used with ConsoleX AI to access local MCP Servers.
EvalsOne/MCP-connect
December 21, 2024
March 28, 2025
TypeScript