Python Pip Mcp
What is Python Pip Mcp
python-pip-mcp is a minimal example implementation of a Model Context Protocol (MCP) client and server written in Python. It is designed to be easily debuggable in Visual Studio Code on Windows.
Use cases
Use cases for python-pip-mcp include developing and testing MCP-based applications, learning about the Model Context Protocol, and integrating with Anthropic’s API for various AI applications.
How to use
To use python-pip-mcp, first create a virtual environment and activate it. Then, install the required packages using pip. Set up your environment variables by creating a .env file with your Anthropic API key. Finally, run the mcp_client.py script to start querying.
Key features
Key features include a simple implementation of an MCP client and server, compatibility with Visual Studio Code for debugging, and ease of setup with a virtual environment.
Where to use
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Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Python Pip Mcp
python-pip-mcp is a minimal example implementation of a Model Context Protocol (MCP) client and server written in Python. It is designed to be easily debuggable in Visual Studio Code on Windows.
Use cases
Use cases for python-pip-mcp include developing and testing MCP-based applications, learning about the Model Context Protocol, and integrating with Anthropic’s API for various AI applications.
How to use
To use python-pip-mcp, first create a virtual environment and activate it. Then, install the required packages using pip. Set up your environment variables by creating a .env file with your Anthropic API key. Finally, run the mcp_client.py script to start querying.
Key features
Key features include a simple implementation of an MCP client and server, compatibility with Visual Studio Code for debugging, and ease of setup with a virtual environment.
Where to use
undefined
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
python-pip-mcp
Minimal Example Implementation of an Anthropic MCP Client and Server in Python with Pip.
The goal of this repository is to provide a reference implementation of a mcp client and server that can be easily debugged in VSCode on Windows using the Python / Python Debugger extension.
Alternative IDEs and OS are not tested but should work with minimal adjustments, too.
Installation
# create venv
python -m venv myenv
myenv\Scripts\activate
# install requirements
pip install -r requirements.txt
# create a .env file and set your anthropic api key
cp .env.sample .env
# run mcp_client.py script
python mcp_client.py
# query for current time
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
