mcpmini
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@mcpminiserve my Python functions as MCP tools over HTTP"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
mcpmini
Usage
Installation
pip install mcpminiRelated MCP server: Easy MCP Server
How to use
An MCP tool is a docmented Python function — the docments become the tool’s schema, with no registration ceremony. Serve some functions over stdio or HTTP:
from mcpmini.core import MCPServer, MCPClient, serve_stdio, serve_mcp
import asyncio, socketdef fahrenheit(
celsius:float, # Temperature to convert
)->float:
"Convert Celsius to Fahrenheit"
return celsius*9/5+32
srv = MCPServer('demo', [fahrenheit])asyncio.run(serve_stdio(srv)) serves it as a host-launched stdio server; asyncio.run(serve_mcp(srv, port=8000, token='S')) serves it over streamable HTTP behind a bearer token (non-loopback binds refuse to start tokenless unless you pass no_token=True). A file of docmented functions serves straight from the command line — mcpmini tools.py, or mcpmini tools.py --transport http --port 8000 — which is the shape MCP host configs launch. Then any MCP client can connect — for example Claude Code:
claude mcp add --transport http demo http://127.0.0.1:8000/mcp -H "Authorization: Bearer S"And mcpmini is a client too: server tools come back as bound Python functions, with their signatures, docs, and defaults rebuilt from the wire schema.
def free_port():
with socket.socket() as s:
s.bind(('127.0.0.1', 0))
return s.getsockname()[1]
port = free_port()
task = asyncio.create_task(serve_mcp(srv, port=port, token='S'))
await asyncio.sleep(0.2)
async with MCPClient.http(f'http://127.0.0.1:{port}/mcp', token='S') as c: res = await c.tools.fahrenheit(celsius=100)
task.cancel()
res'212.0'
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