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Model Context Protocol (MCP): The New Standard for AI Tools

Yuval Avidani
•2 min read
Model Context Protocol (MCP): The New Standard for AI Tools

Model Context Protocol (MCP): The Future of AI Integration

Remember when every device had its own charger? MCP is doing for AI tools what USB-C did for charging.

What is MCP?

Model Context Protocol is an open standard that allows AI models to interact with external tools and data sources through a unified interface.

┌─────────────┐     MCP      ┌─────────────┐
│   Claude    │◄────────────►│  Your Tools │
│   GPT-5     │              │  Databases  │
│   Gemini    │              │  APIs       │
└─────────────┘              └─────────────┘

Building Your First MCP Server

import { MCPServer } from "@modelcontextprotocol/sdk";

const server = new MCPServer({
  name: "my-tools",
  version: "1.0.0",
});

server.addTool({
  name: "get_weather",
  description: "Get current weather for a city",
  parameters: {
    city: { type: "string", required: true }
  },
  handler: async ({ city }) => {
    const weather = await fetchWeather(city);
    return { temperature: weather.temp, conditions: weather.desc };
  }
});

server.start();

Why MCP Matters

  1. Write Once, Use Everywhere: Your tools work with any MCP-compatible AI
  2. Security: Sandboxed execution with granular permissions
  3. Discovery: AIs can browse available tools dynamically

Real-World Use Cases

  • Database MCP: Let AI query your production data safely
  • GitHub MCP: AI-powered code reviews and PR management
  • Slack MCP: Automate team communications
  • Jira MCP: AI project management

Getting Started

npm install @modelcontextprotocol/sdk
npx create-mcp-server my-server

MCP is the foundation for the agentic future. Start building today.