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Python Pip MCP
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Python Pip MCP

A minimal Anthropic MCP protocol client and server implementation based on Python and Pip for debugging reference in VSCode and Windows environments.
Developer toolsArtificial intelligence chatbots#MCP Protocol#Python Implementation#Debugging Tool.Python
2.5 points
7.8K
Open Site

Overview

Content Details

Alternatives

What is the Python MCP Client/Server?

This is a lightweight implementation of Anthropic's Model Context Protocol (MCP) that allows you to communicate with AI models in a standard way. It includes client and server components for easy testing and debugging.

How to use the Python MCP Client/Server?

This implementation provides a simple setup process. Create a virtual environment and install the required dependencies. After setup, you can run the client to interact with the MCP server.

Use Cases

Suitable for developers who want to experiment with the MCP protocol, test AI model interactions, or build prototypes for standardized model communication.

Key Features

Minimal implementation
Provides the most basic components required for MCP communication without unnecessary complexity
Easy-to-debug settings
Specifically configured for easy debugging on Windows systems in VSCode
Cross-platform compatibility
Although optimized for Windows, it can be used on other platforms with minor adjustments

How to Use

Frequently Asked Questions

How to install the Python MCP library?
Can this library run on Windows?

Additional Resources

Model Context Protocol Documentation
Official MCP documentation
Anthropic API
Information about Anthropic's API services

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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