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mcp-proxy

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MCP Proxy is a middleware server that centralizes and standardizes communication between various AI applications and multiple Model Context Protocol (MCP) endpoints. It supports connections via STDIO and Server-Sent Events (SSE), routing requests to the appropriate MCP services. This proxy simplifies integration by managing protocol complexities and providing a unified interface for AI apps like Claude Desktop, Cursor, and Windsurf to interact seamlessly with diverse MCP implementations.

Use This MCP server To

Unify multiple AI apps' connections to different MCP endpoints Route AI application requests to appropriate MCP services Simplify protocol management between AI clients and MCP servers Centralize communication for diverse MCP implementations Enable AI apps to use a single interface for multiple MCP versions Support STDIO and SSE transport protocols for AI app connections

README

MCP Proxy

MCP Proxy is a middleware service that enables multiple AI applications (like Claude Desktop, Cursor, and Windsurf) to communicate with different Model Context Protocol (MCP) endpoints through a unified interface. It acts as a proxy layer that:

  1. Accepts connections from various AI applications through STDIO or Server-Sent Events (SSE) transport protocols
  2. Routes these requests to appropriate MCP endpoints (MCP 1, MCP 2, etc.)
  3. Manages and standardizes the communication between AI applications and MCP services

This proxy service simplifies the integration of AI applications with MCP services by providing a centralized connection point and handling the complexity of protocol management and request routing. and request routing.

flowchart LR
transport[STDIO / SSE]
c1["Claude Desktop"] ---> transport
c2["Cursor"] ---> transport
c3["Windsurf"] ---> transport
transport ---> proxy[MCP Proxy]
proxy ---> mcp1[MCP 1]
proxy ---> mcp2[MCP 2]
proxy ---> mcpn[MCP ...]
Loading

Debugging

npx @modelcontextprotocol/inspector

mcp-proxy FAQ

How does MCP Proxy handle multiple MCP endpoints?
It routes requests from AI applications to the correct MCP endpoint based on the request context.
What transport protocols does MCP Proxy support?
MCP Proxy supports STDIO and Server-Sent Events (SSE) for communication with AI applications.
Can MCP Proxy simplify integrating new AI applications?
Yes, it provides a unified interface that abstracts protocol differences, easing integration.
Does MCP Proxy support multiple MCP protocol versions?
Yes, it can route requests to different MCP versions like MCP 1 and MCP 2.
Is MCP Proxy suitable for production environments?
Yes, it is designed to manage and standardize communication reliably between AI apps and MCP services.
How does MCP Proxy improve AI application development?
By centralizing protocol handling, it reduces complexity and accelerates development workflows.