fastmcp
🚀 The fast, Pythonic way to build MCP servers and clients.
MCP server by brycewang-stanford · ★ 338 · updated today
StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, structured result objects, machine-readable schemas, Skills, an MCP server, and R/Stata parity validation.
Choose your AI client and copy the config.
Install / run command from the README. Client configuration depends on the project — see its README.
pip install statspai"env") in the config.🚀 The fast, Pythonic way to build MCP servers and clients.
The official Python SDK for Model Context Protocol servers and clients
The official TypeScript SDK for Model Context Protocol servers and clients
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
Visual testing tool for MCP servers
The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.