About MCP Server
A Python MCP server for submitting code to a standardized `/run_python` endpoint. It is intended for MCP clients that need a Python execution service.
Key features
- 01Python code execution endpoint
- 02Standardized MCP API
Use cases
- 01Running Python code through an API
- 02Connecting an MCP client to Python execution
MCP support
Implements MCP and exposes Python code execution through the `/run_python` endpoint.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Server
Python service implementing Model Context Protocol (MCP) for Python code execution via standardized API endpoints.
Installation
pip install -r requirements.txt
Usage
- Start the server:
python src/server.py
- Send requests to the
/run_pythonendpoint:
curl -X POST http://localhost:8000/run_python \
-H "Content-Type: application/json" \
-d '{"code": "print(\'Hello, World!\')"'
Development
- Follow the modular structure
- Run tests before submitting changes
- Update documentation as needed
License
MIT
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.