MCP (Model Context Protocol)

Name: MCP (Model Context Protocol)
Author: kabragaurav

@kabragaurav

Repository

About MCP (Model Context Protocol)

A Simple Model Context Server For AI

#tools #ai #mcp #ai-agent #anthropic #mcp-server

Basic information

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "Gaurav Kabra's MCP Server": {
      "command": "node",
      "args": [
        "/Users/gauravkabra/Desktop/MCPServer/index.js"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP (Model Context Protocol)?

The Model Context Protocol (MCP) is a standardized way introduced by Anthropic for LLMs to interact with external tools, functions, and inject context. It allows models to request real-time information, execute actions in external systems, access specialized knowledge, and interact with APIs and services. An MCP server exposes three things: Tools, Resources, and Prompts.

How to use MCP (Model Context Protocol)?

Initialize a Node.js project with npm init and install the SDK using npm install @modelcontextprotocol/sdk. Create an index.js that implements the server. In Cursor IDE, configure it by creating an mcp.json file with the node command and the absolute path to the script as arguments. Use STDIO transport for local development and SSE for remote connections.

Key features of MCP (Model Context Protocol)

Standardized interface for LLM-tool interaction.
Exposes Tools, Resources, and Prompts.
Supports STDIO for local and SSE for remote transport.
Reduces API breaking changes via independent server maintenance.

Use cases of MCP (Model Context Protocol)

Allow LLMs to call external APIs and services.
Enable real-time data retrieval from databases or knowledge bases.
Build AI agents that can execute actions in external systems.
Integrate with company‑maintained servers (e.g., Yahoo, Google) in a standard way.