AI Agent Analysis

PrefectHQ/fastmcp

🚀 The fast, Pythonic way to build MCP servers and clients.

27k starsPythonGitHub

Source and compliance noteLast synced: Jul 21, 2026

Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.

Original GitHub source Methodology Editorial Policy

Overview

FastMCP is a Python framework for building MCP (Model Context Protocol) servers and clients, designed to simplify connecting LLMs to tools and data. Its core value proposition is providing a fast, Pythonic way to go from prototype to production with automatic schema generation, validation, and protocol lifecycle management.

Installation

pip install fastmcp

What You Can Build

Developers can build MCP servers that expose tools, resources, and prompts to LLMs, create interactive UIs rendered in conversations, and connect to any MCP server locally or remotely. Real-world use cases include building AI-powered assistants, data retrieval tools, and enterprise-grade agent systems. The framework powers 70% of MCP servers across all languages and supports production deployment via Prefect Horizon.

Community Sentiment

Positive