MCP Servers K6k

🚀 MCP Science Project Introduction

The MCP Science Project aims to enhance the capabilities of Large Language Models (LLMs) by offering a series of tools built on the Model Combiner Protocol [MCP]. These tools can significantly improve the performance of LLMs when handling complex tasks.

Our goal is to provide a platform for developers and researchers to more easily expand and strengthen the capabilities of LLMs.

✨ Features

Offer Multiple Functional Modules

• Web Content Retrieval: Supports scraping and summarizing web page content from specified URLs.
• Mathematical Computation Enhancement: Improves the ability to solve complex mathematical problems by invoking an external computing engine.
• File Processing Expansion: Enables the processing and analysis of files in multiple formats.

🚀 Quick Start

Installation

1. Install Dependencies

   pip install mcp science
   

2. Initialize the Project

   uv init --package --no-workspace myproject
   uv add --directory myproject mcp science
   

3. Run the Example

   uv run myproject
   

📚 Documentation

Usage Instructions for Functional Modules

Web Content Retrieval Tool (web-fetch)

• Function Description: Allows the LLM to obtain web page content from a specified URL.
• Use Cases: Information retrieval, web crawling.

Mathematical Computation Enhancement Tool (math-enhance)

• Function Description: Improves the ability to solve complex problems by invoking an external mathematical engine.
• Use Cases: Advanced data analysis, scientific computing.

Project Structure

mcp-science/
├── README.md
├── LICENSE
├── pyproject.toml
└── servers/
    ├── web-fetch/
    │   ├── README.md
    │   └── src/
    │       └── web_fetch/
    │           └── __init__.py
    └── math-enhance/
        ├── README.md
        └── src/
            └── math_enhance/
                └── __init__.py

🤝 Contribution Guidelines

We warmly welcome community members to contribute to the MCP Science Project!

How to Start Contributing

1. Fork the Repository

   git clone https://github.com/yourusername/mcp-science.git
   cd mcp-science
   git checkout -b feature/amazing-feature
   

2. Create a New Functional Module

   Create a new server folder in the servers/ directory:

   uv init --package --no-workspace servers/my-new-server
   uv add --directory servers/my-new-server mcp
   

📄 License

This project is licensed under the MIT License. Please refer to the LICENSE file for specific terms.

🙏 Acknowledgments

Thank you to all the developers and contributors who have contributed to this project!