python-pip-mcp

What is python-pip-mcp?

python-pip-mcp is a minimal example implementation of an Anthropic Model Context Protocol (MCP) client and server in Python using Pip. It provides a reference implementation designed for debugging in VSCode on Windows with the Python Debugger extension.

How to use python-pip-mcp?

Create a Python virtual environment, install dependencies from requirements.txt, copy .env.sample to .env and set your Anthropic API key, then run python mcp_client.py. The client will query the MCP server for the current time.

Key features of python-pip-mcp

• Minimal reference implementation of MCP client and server
• Built with Python and Pip
• Designed for VSCode debugging on Windows
• Provides a simple time query example

Use cases of python-pip-mcp

• Learning the MCP protocol by examining a working example
• Setting up a debuggable MCP environment in VSCode on Windows
• Testing custom MCP tools or integrations locally
• Reference for building your own MCP client or server

FAQ from python-pip-mcp

What does python-pip-mcp demonstrate?

It demonstrates a minimal MCP client and server that can be run and debugged in VSCode on Windows, with a simple time-query tool.

What dependencies are required?

Python 3, a virtual environment, the packages listed in requirements.txt, and an Anthropic API key (set in a .env file).

How do I run the example?

After installing dependencies and setting the API key, run python mcp_client.py from the activated virtual environment.

What operating systems and IDEs are supported?

Windows with VSCode is explicitly supported; other IDEs and OS are untested but should work with minimal adjustments.

Where does the example query get data?

The server responds with the current time; no external data source is required beyond the Anthropic API for MCP communication.