Cover image
Try Now
2024-12-05

MCP Server to run python code locally

3 years

Works with Finder

1

Github Watches

14

Github Forks

50

Github Stars

python_local MCP Server

An MCP Server that provides an interactive Python REPL (Read-Eval-Print Loop) environment.

Components

Resources

The server provides access to REPL session history:

  • Custom repl:// URI scheme for accessing session history
  • Each session's history can be viewed as a text/plain resource
  • History shows input code and corresponding output for each execution

Tools

The server implements one tool:

  • python_repl: Executes Python code in a persistent session
    • Takes code (Python code to execute) and session_id as required arguments
    • Maintains separate state for each session
    • Supports both expressions and statements
    • Captures and returns stdout/stderr output

Configuration

Install

Claude Desktop

On MacOS: ~/Library/Application\ Support/Claude/claude_desktop_config.json On Windows: %APPDATA%/Claude/claude_desktop_config.json

Development/Unpublished Servers Configuration ```json "mcpServers": { "python_local": { "command": "uv", "args": [ "--directory", "/path/to/python_local", "run", "python_local" ] } } ```
Published Servers Configuration ```json "mcpServers": { "python_local": { "command": "uvx", "args": [ "python_local" ] } } ```

Development

Building and Publishing

To prepare the package for distribution:

  1. Sync dependencies and update lockfile:
uv sync
  1. Build package distributions:
uv build

This will create source and wheel distributions in the dist/ directory.

  1. Publish to PyPI:
uv publish

Note: You'll need to set PyPI credentials via environment variables or command flags:

  • Token: --token or UV_PUBLISH_TOKEN
  • Or username/password: --username/UV_PUBLISH_USERNAME and --password/UV_PUBLISH_PASSWORD

Debugging

Since MCP servers run over stdio, debugging can be challenging. For the best debugging experience, we strongly recommend using the MCP Inspector.

You can launch the MCP Inspector via npm with this command:

npx @modelcontextprotocol/inspector uv --directory /path/to/python_local run python-local

Upon launching, the Inspector will display a URL that you can access in your browser to begin debugging.

相关推荐

  • https://maiplestudio.com
  • Find Exhibitors, Speakers and more

  • Yusuf Emre Yeşilyurt
  • I find academic articles and books for research and literature reviews.

  • https://suefel.com
  • Latest advice and best practices for custom GPT development.

  • Carlos Ferrin
  • Encuentra películas y series en plataformas de streaming.

  • Emmet Halm
  • Converts Figma frames into front-end code for various mobile frameworks.

  • Joshua Armstrong
  • Confidential guide on numerology and astrology, based of GG33 Public information

  • https://zenepic.net
  • Embark on a thrilling diplomatic quest across a galaxy on the brink of war. Navigate complex politics and alien cultures to forge peace and avert catastrophe in this immersive interstellar adventure.

  • Elijah Ng Shi Yi
  • Advanced software engineer GPT that excels through nailing the basics.

  • https://reddgr.com
  • Delivers concise Python code and interprets non-English comments

  • 林乔安妮
  • A fashion stylist GPT offering outfit suggestions for various scenarios.

  • 1Panel-dev
  • 💬 MaxKB is a ready-to-use AI chatbot that integrates Retrieval-Augmented Generation (RAG) pipelines, supports robust workflows, and provides advanced MCP tool-use capabilities.

  • ShrimpingIt
  • Micropython I2C-based manipulation of the MCP series GPIO expander, derived from Adafruit_MCP230xx

  • Dhravya
  • Collection of apple-native tools for the model context protocol.

  • GLips
  • MCP server to provide Figma layout information to AI coding agents like Cursor

  • Mintplex-Labs
  • The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

  • adafruit
  • Python code to use the MCP3008 analog to digital converter with a Raspberry Pi or BeagleBone black.

  • idosal
  • Put an end to hallucinations! GitMCP is a free, open-source, remote MCP server for any GitHub project

    Reviews

    3 (1)
    Avatar
    user_9Y9CyDSf
    2025-04-17

    I have been using python_mcp by Alec2435, and it has truly revolutionized the way I manage my multi-cloud projects. The tool's seamless integration and intuitive design make it a breeze to use, even for complex deployments. I highly recommend checking it out on GitHub for anyone looking to streamline their cloud operations!