python-pip-mcp
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Python
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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
Publisher info
More MCP servers built with Python
Unified Context Layer (UCL) is a multi-tenant Model Context Protocol (MCP) server that enables AI agents, automation platforms, and applications to connect to over 1,000 SaaS tools—such as Slack, Jira, Gmail, Shopify, Notion, and more—via a single standardized /command endpoint.
Bridge the gap between design and code. Send pixel-perfect website components directly to Cursor or Claude Code using Model Context Protocol (MCP). No more screenshots or descriptions needed.