MCP (Model Context Protocol)

Name: MCP (Model Context Protocol)
Author: kabragaurav

@kabragaurav

リポジトリ

MCP (Model Context Protocol) について

A Simple Model Context Server For AI

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

基本情報

カテゴリ

その他

ランタイム

node

トランスポート

stdio

公開者

kabragaurav

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

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

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.