Model Context Protocol (MCP) Tools

This repository demonstrates the capabilities of MCP tools for interacting with various services. MCP tools provide a standardized way to extend AI capabilities through server-side implementations.

Available MCP Tools

1. GitHub MCP Server

A server that provides tools for interacting with GitHub:

• get_user: Fetch GitHub user information
• create_repo: Create new GitHub repositories
• push_to_repo: Push content to GitHub repositories

2. Weather MCP Server (Example)

A server that could provide weather data:

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

3. Database MCP Server (Example)

A server that could provide database operations:

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

Benefits of MCP

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

Implementation Details

MCP servers can be implemented using:

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

Each server defines:

• Available tools with input schemas
• Resource endpoints
• Authentication requirements

Getting Started

To create your own MCP server:

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

Example 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 demonstrate these capabilities!