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Development/Unpublished Servers Configuration

"mcpServers": {
    "python_local": {
      "command": "uv",
      "args": [
        "--directory",
        "/path/to/python_local",
        "run",
        "python_local"
      ]
    }
  }

Published Servers Configuration

"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

2. Build package distributions:

uv build

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

3. 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.