FastMCP Foundations

FastMCP is an open-source project written in Python that allows developers to build servers and clients for the Model Context Protocol (MCP) — an open-source standard that exposes data and functions to applications built around large language models (LLMs).

FastMCP's popularity stems from how it reduces the boilerplate normally required to build raw MCP servers: server setup, protocol handlers, content types, and error management are all abstracted away. It targets a high level of abstraction, in a way comparable to how Express.js simplifies building web servers in Node.js — a lightweight framework that hides underlying protocol complexity.

MCP was created by Anthropic, the company behind the Claude family of LLMs. Anthropic announced MCP in a blog post in late November 2024. Initial attention was limited, but developers soon began experimenting with it and recognized that MCP was a significant step forward for building generative and agentic AI applications. Interest then spiked, MCP became one of the most discussed topics in the AI world, and it gained rapid adoption from major players such as OpenAI, Google, and Microsoft — companies that are normally fierce competitors, which...