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fastmcp

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Basic Information

FastMCP is a Python framework and toolkit for building, running, and interacting with Model Context Protocol (MCP) servers and clients. It implements MCP idioms such as Tools, Resources, Prompts, and Context to expose data and functionality to LLM applications. The project targets both development and production use by providing a FastMCP server object, decorators to register tools/resources/prompts, a client library with multiple transports, and utilities for deployment, authentication, testing, and integration. Version 2.0 extends the original MCP SDK capabilities with features like proxying, server composition, OpenAPI and FastAPI generation, dynamic media helpers, and in-memory transports for efficient testing. The repo includes documentation, examples, a comprehensive test suite, and setup instructions to help developers create secure, production-ready MCP services quickly and with minimal boilerplate.

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16277
App URL
https://github.com/jlowin/fastmcp
Github Repository
https://github.com/jlowin/fastmcp/blob/main/README.md

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App Details

Features
FastMCP exposes a high-level FastMCP server class and simple decorators to register tools, resources, and prompts with automatic schema generation from type hints and docstrings. Context injection lets functions access session features such as logging, LLM sampling, HTTP requests, resource reads, and progress reporting. The client supports multiple transports including STDIO, SSE, HTTP, and an in-memory FastMCP transport for tests. Advanced features include proxying for bridging transports, composing and mounting multiple MCP servers, automatic generation from OpenAPI and FastAPI applications, built-in authentication providers for server and client security, media helper classes for images and audio, CLI run commands, and a full unit test and pre-commit static-check workflow.
Use Cases
FastMCP reduces protocol boilerplate and accelerates development by providing Pythonic abstractions for MCP servers and clients so developers can focus on tools and logic rather than transport and content-type handling. It eases testing with in-memory clients and an extensive test suite, simplifies deployment with built-in run options for STDIO, HTTP, and SSE, and supports production concerns through authentication and composability patterns. Integrations such as OpenAPI/FastAPI generation and proxy servers help teams bring existing web APIs into the MCP ecosystem and bridge remote services. The framework is intended to make MCP adoption practical and reliable for creating LLM-accessible services and for running those services in real-world environments.

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