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MCP From a Slightly Different Angle — How to Build A Local Multi-Server Systems Without FastMCP

  • Since Anthropic introduced the Model Context Protocol (MCP) in November 2024, many resources have explored its concepts and applications.
  • This article aims to offer a lower-level, multi-server example without using FastMCP to delve into MCP mechanisms.
  • MCP facilitates interactions between large language models (LLMs) and diverse tools beyond training data.
  • The MCP ecosystem involves servers hosting tools, clients connecting to servers, and hosts coordinating interactions.
  • The article demonstrates implementing this architecture using lower-level Python MCP SDK classes, bypassing high-level wrappers.
  • Servers are defined with tools like MathServer, and connections are established using SSE transport protocol.
  • Additional libraries like starlette and uvicorn are used in the examples for building multi-server setups.
  • A MultiServerClient class manages connections to multiple servers, handling communication and tool routing.
  • The host component interacts with a language model to decide which tools to invoke based on user queries.
  • The article provides a clear example of how to implement MCP with multiple servers in a structured manner, inviting further exploration.

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