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.
@lukeage
Basic information
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.
No standard config provided
This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.
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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.
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.
It demonstrates a minimal MCP client and server that can be run and debugged in VSCode on Windows, with a simple time-query tool.
Python 3, a virtual environment, the packages listed in `requirements.txt`, and an Anthropic API key (set in a `.env` file).
After installing dependencies and setting the API key, run `python mcp_client.py` from the activated virtual environment.
Windows with VSCode is explicitly supported; other IDEs and OS are untested but should work with minimal adjustments.
The server responds with the current time; no external data source is required beyond the Anthropic API for MCP communication.

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