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MCP server · Developer Tools

Python MCP

MCP Server to run python code locally

Unclaimed last commit a year ago devtools
51Fair

Scored 4 months ago · breakdown

About Python MCP

Python MCP is an MCP server published by Alec2435 in the Developer Tools category: mCP Server to run python code locally. It has been installed 0 times through Conduid.

The repository has 55 stars and 17 forks, with the last commit a year ago. Six months or more without a commit doesn't mean the server is broken, but check the open issues (0) before depending on it in production.

Install

Install
npx python-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

README

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

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.

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Python MCP

How do I install Python MCP?

Run npx python-mcp, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Python MCP safe to use with an AI agent?

Its trust score is 51 out of 100 (fair). It passes 0 of 1 static security checks; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Python MCP still maintained?

The last commit was a year ago, with 0 open issues. That's long enough that you should check whether the maintainer is responding to issues before depending on it.