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Python会话

提供了一个交互式的Python REPL环境,该环境保持持久会话状态,允许用户执行Python代码并访问会话历史记录。

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Development/Unpublished Servers Configuration ```json "mcpServers": { "python_local": { "command": "uv", "args": [ "--directory", "/path/to/python_local", "run", "python_local" ] } }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

help

运行方式说明

cloud

托管运行

托管运行通常表示这个 MCP Server 由服务方环境承载,用户一般按页面提供的连接方式或授权流程接入,不需要在本地长期启动一个 MCP 进程

  1. 打开服务方连接页
  2. 完成授权或复制端点
  3. 在 MCP 客户端中连接
terminal

本地运行 / 其它方式

本地运行通常需要用户在自己的电脑或服务器上安装依赖,把 server_config 复制到 MCP 客户端,并按 env_schema 补齐环境变量、密钥或其它配置

  1. 复制 server_config
  2. 安装所需依赖
  3. 补齐环境变量后重启客户端