Hacker News
Polymcp is a new tool presented on Hacker News that allows developers to easily expose any Python function as an MCP (Machine Communication Protocol) tool, making them directly callable by AI agents. This simplifies the integration of existing Python code and automates complex business workflows.
AI 生成摘要
Polymcp 是一個在 Hacker News 上展示的新工具，它能讓開發者輕鬆地將任何 Python 函數暴露為 MCP（機器通信協議）工具，使其能被 AI Agent 直接調用。這簡化了現有 Python 程式碼的整合，並能自動化複雜的商業流程。
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 get_weather(city: str):
"""Return current weather data for a city"""
response = requests.get(f"https://api.weatherapi.com/v1/current.json?q={city}")
return response.json()
app = expose_tools_http([get_weather], title="Weather Tools")
AI agents can call get_weather("London") to get real-time weather data instantly.
Business workflow function:
import pandas as pd
from polymcp.polymcp_toolkit import expose_tools_http
def calculate_commissions(sales_data: list[dict]):
"""Calculate sales commissions from sales data"""
df = pd.DataFrame(sales_data)
df["commission"] = df["sales_amount"] * 0.05
return df.to_dict(orient="records")
app = expose_tools_http([calculate_commissions], title="Business Tools")
AI agents can now generate commission reports automatically.
Why it matters for companies
• Reuse existing code immediately: legacy scripts, internal libraries, APIs.
• Automate complex workflows: AI can orchestrate multiple tools reliably.
• Plug-and-play: multiple Python functions exposed on the same MCP server.
• Reduce development time: no custom wrappers or middleware needed.
• Built-in reliability: input/output validation and error handling included.
Polymcp makes Python functions immediately usable by AI agents, standardizing integration across enterprise software.
Repo: https://github.com/poly-mcp/Polymcp
