#16 · Primary category： LLM Application Frameworks
fastmcp
🚀 The fast, Pythonic way to build MCP servers and clients.
Project last updated：08/29/26
GitHub Stars
27.4K
Forks
2.3K
Contributors
292
License
Apache-2.0
Why we included this project
Teams wiring LLM agents to their own tools and data are the main audience here. FastMCP turns an ordinary Python function into a Model Context Protocol server: add a decorator and the schema, validation, and docs are generated for you. It also covers the client side, managing transport negotiation, authentication, and the protocol lifecycle, so you can connect to local or remote servers without hand-rolling the protocol. The same project supports interactive apps that render tool UIs inside a conversation, and there's a maintained TypeScript version for teams on that stack. Since it was folded into the official MCP Python SDK, it's a safe choice for production integrations rather than an experimental wrapper.
Articles for this project
No articles for this project yet.
To suggest a topic or contribute an article, contact us.
Related projects in this category
langchain
The agent engineering platform.
dify
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
headroom
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
litellm
The fastest, litest AI Gateway. Rust core with Python SDK. Call 100+ LLM APIs in OpenAI (or native) format with cost tracking, guardrails, load balancing, and logging [Bedrock, Azure, OpenAI, Anthropic, OpenAI, VertexAI, vLLM, Nvidia NIM]
llama_index
LlamaIndex is the leading document agent and OCR platform