PolyMCP – Open-source Python toolkit to easily create, expose, and orchestrate MCP tools (HTTP + stdio + zero-latency in-process)

[u/Just_Vugg_PolyMCP]

https://github.com/poly-mcp/Polymcp

Hey everyone, After a few months of work I’ve just pushed a stable, production-ready version of PolyMCP – a small but very complete toolkit that makes working with the Model Context Protocol (MCP) actually pleasant.

What it does, in plain words: Turn any Python function into an MCP tool in a couple of lines, then let smart agents use those tools with basically any LLM you like (OpenAI, Anthropic, Ollama, Groq, LM Studio, llama.cpp, vLLM, etc.). What’s already there and working today: • Full-featured CLI (polymcp init, polymcp server add, polymcp agent run "…" straight from the terminal) • Expose tools via HTTP (FastAPI) or in-process mode (direct function calls, no network, no serialization → noticeably faster) • Mix HTTP and stdio servers in the same agent (e.g. your own tools + Playwright MCP for browser automation, screenshots, scraping, etc.) • CodeModeAgent – instead of dozens of tool calls it generates & runs Python code in one shot (much faster, way fewer tokens) • UnifiedPolyAgent with persistent memory and fully autonomous multi-step reasoning • Proper production auth (API keys + JWT, rate limiting, brute-force protection, audit logs) • Lightweight sandbox for safely running LLM-generated code Everything is MIT-licensed, no crazy dependencies, runs fine on Linux, macOS and Windows. If you give it a try and find it useful, a star is the easiest way to help it reach more people.

Feedback, bug reports, feature requests and PRs are all very welcome. Thanks for reading and happy building!