Model Context Protocol (mcp) Servers Collection

🚀 Model Context Protocol (MCP) Server Collection

This repository contains a set of Model Context Protocol (MCP) servers developed by me with the assistance of AI tools. MCP refers to servers used to interact with Large Language Models (LLMs) such as Claude and Perplexity, providing dedicated interfaces for different application scenarios.

🚀 Quick Start

About This Repository

This repository houses a collection of Model Context Protocol (MCP) servers developed by me, with the help of AI tools. MCP servers are designed to interact with Large Language Models (LLMs) like Claude and Perplexity, offering specialized interfaces tailored to various application scenarios.

Important Declaration

I'm not a professional programmer. I don't have a formal background in programming or software development. These projects represent my exploration in learning and creating useful tools for personal and professional needs. Although I strive for quality, please understand that these are not professional-grade implementations and use them with appropriate expectations.

✨ Features

Monorepo Structure

├── README.md              # Repository documentation
├── LICENSE                # License file
├── package.json          # Package management configuration file
├── .gitignore             # Git ignore file
└── servers/
    ├── perplexity-server/ # Perplexity server code
    └── keywords-everywhere-server/ # Keywords Everywhere server code

Introduction to Current Servers

Installation Instructions

1. Clone the repository:

   git clone [Repository URL]
   cd MCP-Server-Collection
   npm install
   

2. Start the server:

   npm start
   

Project Objectives

• Provide standardized interfaces for interacting with mainstream AI services.
• Facilitate developers to quickly integrate AI capabilities into their applications.
• Promote the usability and popularity of AI-driven development.

Typical Application Scenarios

1. Enhanced Data Analysis: Use AI for data cleaning, feature extraction, and pattern recognition.
2. Natural Language Processing: Implement functions such as text classification, sentiment analysis, and machine translation.
3. Intelligent Recommendation Systems: Build personalized recommendation engines based on user behavior.
4. Automated Operations and Maintenance: Assist in log analysis, fault diagnosis, and system optimization through AI.

📦 Installation

Getting Started

1. Initialize the project:

   npm init -y
   

2. Install dependencies:

   npm install [Package Name]
   

3. Start the development server:

   npm run dev
   

4. Deploy in a production environment:

   npm start
   

📚 Documentation

Environment Variable Configuration

// Example of .env file
PORT=3000
API_KEY=your_api_key_here

Log Management Strategy

• Log Level: Set to debug, info, warn, error, fatal.
• Log Format: Use the [timestamp] [level] message format.
• Log Output: Support console and file output, and retain logs from the last 7 days.

🔧 Contribution Guidelines

Ways to Contribute

1. Code Contribution:
   • Submit a Pull Request to fix issues or add features.
2. Documentation Improvement:
   • Submit suggestions for improving the documentation.
3. Issue Reporting:
   • Submit Issues on GitHub to report problems.
4. Vision Building:
   • Contribute new server modules or extend existing functionalities.

Development Specifications

1. Code Style: Follow the coding standards established by the community.
2. Unit Testing: Write unit test cases for new features.
3. Documentation Update: Update relevant documentation when modifying features.
4. Version Compatibility: Ensure that new versions are backward compatible.

📄 License

This project is licensed under the MIT License. For detailed information, please refer to the LICENSE file.

This project represents my personal exploration of AI-assisted development. Although I strive for quality, please understand that these are not professional-grade implementations and use them with appropriate expectations. For more information about me, please visit mynameisaliff.co.uk.