Build Your First MCP Server: The Model Context Protocol Workshop

TL;DR: MCP (Model Context Protocol) is the open standard connecting AI to your data. This workshop teaches you to build production-grade MCP servers with resources, tools, and prompts.

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The MCP Revolution

Before MCP, every AI integration was custom. Now there's a standard:

What is MCP?

MCP lets AI models connect to your data through three primitives:

Resources

Data exposed to the model:

• Database schemas
• File contents
• API responses

Tools

Actions the model can take:

• Query databases
• Send messages
• Execute commands

Prompts

Reusable templates:

• Code review prompt
• Documentation template
• Analysis framework

Building Your First Server

Here's the basic structure:

import { Server } from "@modelcontextprotocol/sdk/server/index.js";

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

// Implement resources
server.setRequestHandler("resources/list", async () => ({
  resources: [{
    uri: "notes://all",
    name: "All Notes",
    mimeType: "application/json"
  }]
}));

// Implement tools
server.setRequestHandler("tools/list", async () => ({
  tools: [{
    name: "create_note",
    description: "Create a new note",
    inputSchema: {
      type: "object",
      properties: {
        title: { type: "string" },
        content: { type: "string" }
      }
    }
  }]
}));

Workshop Modules

1. Fundamentals - Protocol architecture
2. First Server - Build a notes server
3. Advanced Patterns - Resource templates, validation
4. Production - Security, deployment, monitoring

Popular MCP Servers

The ecosystem is growing fast:

Why Learn MCP?

• Standard protocol - Write once, use everywhere
• Growing ecosystem - Hundreds of servers
• Enterprise-ready - Security built in
• Future-proof - The direction of AI integration

Start Building

Ready to build your first MCP server?

Start the Free Workshop →

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The infrastructure layer of the AI age. Build the bridges.