iflow-mcp_python-local

# 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` <details> <summary>Development/Unpublished Servers Configuration</summary> ```json "mcpServers": { "python_local": { "command": "uv", "args": [ "--directory", "/path/to/python_local", "run", "python_local" ] } } ``` </details> <details> <summary>Published Servers Configuration</summary> ```json "mcpServers": { "python_local": { "command": "uvx", "args": [ "python_local" ] } } ``` </details> ## Development ### Building and Publishing To prepare the package for distribution: 1. Sync dependencies and update lockfile: ```bash uv sync ``` 2. Build package distributions: ```bash uv build ``` This will create source and wheel distributions in the `dist/` directory. 3. Publish to PyPI: ```bash 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 …