FastMCP 2.0: Pythonic AI Tools

Description

FastMCP 2.0, a Pythonic framework designed for building servers and clients that utilize the Model Context Protocol (MCP). MCP is described as a standardized method, often likened to an API for AI, that connects Large Language Models (LLMs) to data and tools through entities like Resources and Tools. FastMCP is presented as the actively maintained version that extends beyond basic protocol implementation, offering advanced features necessary for production environments, such as enterprise authentication and testing frameworks. The documentation highlights that FastMCP simplifies development by handling complex protocol details and is available in LLM-friendly formats, including access via an MCP server itself. Ultimately, FastMCP is positioned as the most efficient way to build and deploy robust MCP applications.