py2mcp
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., "@py2mcpcreate an mcp server from my add and greet functions"
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.
py2mcp
Quick MCP (Model Context Protocol) server creation from Python functions.
Installation
pip install py2mcpQuick Start
from py2mcp import mk_mcp_server
def add(a: int, b: int) -> int:
"""Add two numbers"""
return a + b
def greet(name: str = "world") -> str:
"""Greet someone"""
return f"Hello, {name}!"
# Create and run MCP server
mcp = mk_mcp_server([add, greet])
if __name__ == '__main__':
mcp.run()That's it! Your functions are now available as MCP tools.
Features
Simple: Just pass functions to
mk_mcp_server()Flexible: Supports input/output transformations
Pythonic: Clean, decorator-free function definitions
Powerful: Built on FastMCP for production-ready servers
Input Transformations
Transform inputs before they reach your functions:
from py2mcp import mk_mcp_server, mk_input_trans
import numpy as np
def add_arrays(a, b):
"""Add two numpy arrays"""
return (a + b).tolist()
# Convert list inputs to numpy arrays
input_trans = mk_input_trans({'a': np.array, 'b': np.array})
mcp = mk_mcp_server([add_arrays], input_trans=input_trans)From Stores (MutableMapping)
Automatically expose CRUD operations from any mapping:
from py2mcp import mk_mcp_from_store
projects = {'proj1': {'name': 'Project 1'}, 'proj2': {'name': 'Project 2'}}
mcp = mk_mcp_from_store(projects, name="project")
# Automatically creates: list_projects, get_project, set_project, delete_projectLicense
MIT
This server cannot be installed
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
Latest Blog Posts
MCP directory API
We provide all the information about MCP servers via our MCP API.
curl -X GET 'https://glama.ai/api/mcp/v1/servers/i2mint/py2mcp'
If you have feedback or need assistance with the MCP directory API, please join our Discord server