Minimal Example Implementation of a MCP Server / Client with Python and Pip. This example is tested in VSCode and Windows and both server and client are debuggable.
Overview
what is python-pip-mcp?
python-pip-mcp is a minimal example implementation of a Model Context Protocol (MCP) client and server using Python and Pip, designed for easy debugging in VSCode on Windows.
how to use python-pip-mcp?
To use python-pip-mcp, set up a Python virtual environment, install the required packages, configure your API key in a .env file, and run the client script to start querying.
key features of python-pip-mcp?
- Minimal example implementation of MCP client and server
- Easy debugging in VSCode
- Compatible with Windows and potentially other OS with minor adjustments
use cases of python-pip-mcp?
- Developing and testing MCP applications in Python.
- Learning how to implement client-server architecture using MCP.
- Debugging and experimenting with API interactions in a controlled environment.
FAQ from python-pip-mcp?
- What is MCP?
MCP stands for Model Context Protocol, which is a protocol for managing interactions with AI models.
- Is this project suitable for production use?
This project is intended as a minimal example and may require further development for production use.
- Can I use this on operating systems other than Windows?
Yes, while this example is tested on Windows, it should work on other operating systems with minimal adjustments.