
python interpreter mcp
A Model Context Server providing simple features to automate python script execution via LLMs.
Repository Info
About This Server
A Model Context Server providing simple features to automate python script execution via LLMs.
Model Context Protocol (MCP) - This server can be integrated with AI applications to provide additional context and capabilities, enabling enhanced AI interactions and functionality.
Documentation
python-interpreter-mcp: A MCP server to run scripts
Overview
A lightweight, experimental MCP server designed to execute arbitrary Python scripts in a structured and reproducible environment. It leverages uv to run isolated code snippets through subprocesses.
Tools
run_script- Runs the given script with
uv run script.py. - Input:
code(str): Script to be run
- Return: The stdout of the given script.
- Runs the given script with
Configuration
Usage with OpenAI Agents SDK
async with MCPServerStdio(
params={
"command": "uvx",
"args": ["python-interpreter-mcp"],
}
) as server
...
Usage with Claude Desktop
Add this to your claude_desktop_config.json:
"mcpServers": {
"interpreter": {
"command": "uvx",
"args": ["python-interpreter-mcp"]
}
}
How it works
- A script string is received by the MCP tool
run_script. - A hidden folder is created in cwd, and the script is saved as a
.pyfile inside it. - The script is then executed using
uv run, which ensures dependency isolation. - The stdout of the script is captured and returned as the response.
Usage Warnings
This project is in a very early stage of development.
⚠️ Important notes
- It executes arbitrary Python code, which means it can run anything — including malicious or destructive commands.
- Use only in trusted, sandboxed environments.
- You should always validate, guardrail, or restrict inputs when wiring this into an LLM.
Quick Start
Clone the repository
git clone https://github.com/bimalpaudels/python-interpreter-mcpInstall dependencies
cd python-interpreter-mcp
npm installFollow the documentation
Check the repository's README.md file for specific installation and usage instructions.
Repository Details
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