Polymcp – Turn Any Python Function into an MCP Tool for AI Agents
I built Polymcp, a framework that allows you to transform any Python function into an MCP (Model Context Protocol) tool ready to be used by AI agents. No rewriting, no complex integrations. Examples Simple function: from polymcp.polymcp_toolkit import expose_tools_http def add(a: int, b: int) -> int: """Add two numbers""" return a + b app = expose_tools_http([add], title="Math Tools") Run with: uvicorn server_mcp:app --reload Now add is exposed via MCP and can be called directly by AI agents. API function: import requests from polymcp.polymcp_toolkit import expose_tools_http def…
Polymcp – Turn Any Python Function into an MCP Tool for AI Agents launched on January 24, 2026 with 23 votes, #690 of 14,585 launches that month and more than 90% of that year's launches.
In plain words
Polymcp is a Python framework that converts existing Python functions into MCP (Model Context Protocol) tools for AI agents without requiring code rewrites or complex integrations. Users can expose any function—from simple calculations to API calls—through a single decorator, then run it as an HTTP server that AI agents can directly invoke. It's designed for developers who want to quickly integrate Python logic into AI agent workflows.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
I built Polymcp, a framework that allows you to transform any Python function into an MCP (Model Context Protocol) tool ready to be used by AI agents. No rewriting, no complex integrations. Examples Simple function: from polymcp.polymcp_toolkit import expose_tools_http def add(a: int, b: int) -> int: """Add two…
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