PyCLI MCP

PyCLI MCP Overview

What is PyCLI MCP about?

PyCLI MCP provides an extensible MCP server that can wrap any Python CLI application—whether built with Click, Typer, or (experimentally) argparse—so the application can be invoked via the Model Context Protocol.

How to use PyCLI MCP?

Install the package: pip install pycli-mcp.
Write a small entry script that imports your CLI app and starts the MCP server (refer to the documentation for exact API usage).
Run the script; the server will expose the CLI commands over MCP, ready for integration with other MCP‑compatible services.

Key features of PyCLI MCP

Framework agnostic: Supports Click, Typer, and experimental argparse.
Zero‑configuration start: Simple Python import and server launch.
CI/CD ready: Badges indicate automated testing, building, and documentation.
Modern packaging: Published on PyPI with Hatch, linted by Ruff, and licensed MIT.

Use cases of PyCLI MCP

Integrating existing command‑line utilities into AI agents or workflow automation platforms.
Exposing legacy CLI tools as services in a micro‑service architecture.
Building reproducible pipelines where commands are invoked via MCP rather than shell scripts.

FAQ from the PyCLI MCP

Q: Which CLI frameworks are supported? A: Click and Typer are fully supported; argparse has experimental support.

Q: How do I run the server in production? A: Launch the Python entry script (e.g., python -m my_cli_server) after installing the package. Use typical process managers (systemd, Docker, etc.) to keep it running.

Q: Is there a Docker image available? A: Not directly, but the package can be installed in any Python‑based Docker image.

Q: What Python versions are compatible? A: All versions listed on the PyPI badge (see repository).