MCP TEST REPO

🚀 Model Context Protocol (MCP) Tool

This repository demonstrates the MCP tool's ability to interact with various services. The MCP tool provides a standardized way to extend AI capabilities through the server.

🚀 Quick Start

✨ Features

Available MCP Tools

1. GitHub MCP Server

A server for interacting with GitHub:

• get_user: Retrieve GitHub user information
• create_repo: Create a new GitHub repository
• push_to_repo: Push content to a GitHub repository

2. Weather MCP Server (Example)

A server that may provide weather data:

• Get the current weather for a city
• Get weather forecasts
• Access historical weather data

3. Database MCP Server (Example)

A server that may provide database operations:

• Query data
• Insert records
• Update existing data
• Delete records

Advantages of MCP

1. Standardization: MCP provides a standard protocol for tool integration.
2. Security: Tools run on the server with appropriate authentication mechanisms.
3. Scalability: New tools can be added without modifying the core system.
4. Flexibility: Tools can be implemented in any programming language.

🔧 Technical Details

MCP servers can be implemented in the following ways:

• Local (Stdio-based) servers that run on the user's machine
• Remote (SSE-based) servers that run on a remote machine

Each server defines:

• Available tools and their input modes
• Resource endpoints
• Authentication requirements

📦 Installation

To create your own MCP server:

1. Use the MCP development toolkit.
2. Define your tools and resources.
3. Implement the server logic.
4. Configure authentication.
5. Deploy the server.

💻 Usage Examples

Basic Usage

// Example of using the GitHub MCP server
const result = await mcpServer.callTool('github', 'create_repo', {
  repo_name: 'my-new-repo',
  description: 'A new repository',
  private: false
});

This repository was created using the GitHub MCP server to showcase these features!