Gateway MCP serves as a bridge between AI assistants and various MCP services, enabling discovery and interaction with remote tools through a unified interface. Built with Python using FastMCP, it provides tools to discover available services from a registry, establish connections to both SSE-based MCP servers and HTTP APIs, and proxy tool calls to connected services. The implementation handles connection management, request routing, and response formatting, making it particularly valuable for workflows requiring access to multiple specialized services without leaving the conversation context.
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