MCPHub MCP Server

What is MCPHub?

MCPHub is an embeddable Model Context Protocol (MCP) solution for AI services that enables seamless integration of MCP servers into AI frameworks like OpenAI Agents, LangChain, and Autogen. Developers can configure, set up, and manage MCP servers within their applications using a unified JSON-based configuration.

How to use MCPHub?

Install with pip install mcphub (optionally with framework-specific extras like [openai]). Create a .mcphub.json file in your project root specifying the MCP servers. Then use the Python API – initialize MCPHub(), call methods like fetch_openai_mcp_server() with the server name, and pass the returned server object to an AI framework (e.g., OpenAI Agents’ Agent with mcp_servers=[server]).

Key features of MCPHub

• JSON-based configuration in .mcphub.json
• Supports TypeScript (npx) and Python (uv) MCP servers
• Automatic server setup from GitHub repositories
• Framework adapters for OpenAI Agents, LangChain, Autogen
• stdio and SSE transport support
• Tool discovery, listing, and optional caching for performance

Use cases of MCPHub

• Add MCP tools to an OpenAI Agent for complex reasoning tasks
• Use MCP tools as LangChain tools in a chain or agent
• Convert MCP servers into Autogen adapters for multi-agent systems
• Manage multiple MCP servers from a single configuration file
• Run MCP servers with SSE endpoints for web-based real-time communication