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GitHub - jlowin/fastmcp: The fast, Pythonic way to build Model Context Protocol servers

Dec 01, 2024 - github.com
FastMCP is a Pythonic way to build Model Context Protocol (MCP) servers. MCP servers provide context and tools to LLMs (Language Learning Machines) and FastMCP simplifies the process of building these servers. It handles complex protocol details and server management, allowing developers to focus on building tools. FastMCP is designed to be high-level and Pythonic, with key features including speed, simplicity, and a natural feel for Python developers. It aims to provide a full implementation of the core MCP specification.

The FastMCP server is the core interface to the MCP protocol, handling connection management, protocol compliance, and message routing. It allows developers to expose data through resources, provide functionality through tools, and define interaction patterns through prompts. FastMCP also provides an Image class that handles image data and a Context object that gives tools and resources access to MCP capabilities. The FastMCP CLI helps with the development and deployment of MCP servers.

Key takeaways:

  • FastMCP is a Pythonic way to build Model Context Protocol (MCP) servers, simplifying the process of creating tools, exposing resources, and defining prompts.
  • The key features of FastMCP include its speed, simplicity, Pythonic nature, and its aim to provide a full implementation of the core MCP specification.
  • FastMCP provides a high-level, Pythonic interface to the MCP protocol, handling connection management, protocol compliance, and message routing.
  • FastMCP also provides an Image class that handles image data, and a Context object that gives tools and resources access to MCP capabilities.
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