Navigation
Model Context Protocol (MCP): Hands-On Mastery & Real-World Solutions - MCP Implementation

Model Context Protocol (MCP): Hands-On Mastery & Real-World Solutions

Master Model Context Protocol (MCP) through hands-on, from-scratch implementation—gain deep expertise and solve real-world challenges with confidence.

Developer Tools
4.5(137 reviews)
205 saves
95 comments

This tool saved users approximately 6106 hours last month!

About Model Context Protocol (MCP)

What is Model Context Protocol (MCP): Hands-On Mastery & Real-World Solutions?

MCP is the glue that lets AI assistants plug into real-world systems. Think of it like the universal adapter for AI tooling—it standardizes how bots discover, call, and handle responses from external tools. Instead of reinventing the wheel for every integration, developers can focus on building what matters using this open protocol.

How to use Model Context Protocol (MCP): Hands-On Mastery & Real-World Solutions?

Getting started is like setting up a modular toolkit:

  1. Spin up the base server using Node.js 20+, then pick your transport (stdio or HTTP/SSE)
  2. Register your tools with JSON Schema definitions—think of them as API contracts for your AI's capabilities
  3. Handle calls with async logic, leveraging built-in error handling and validation layers
  4. Test interactively via command line or the web-based SSE interface for real-time feedback

Model Context Protocol (MCP) Features

Key Features of Model Context Protocol (MCP): Hands-On Mastery & Real-World Solutions?

What makes MCP stand out isn't just the specs—it's the battle-tested implementation details:

  • Smart capability negotiation: Servers auto-adapt to client capabilities without manual config
  • Schema-driven tooling: JSON Schema validations catch 80% of edge cases before they hit your code
  • Transport abstraction: Swap between stdio and HTTP/SSE like changing guitar strings
  • Production-ready error handling
patterns: Consistent error codes and retry logic baked in

Use Cases of Model Context Protocol (MCP): Hands-On Mastery & Real-World Solutions?

Here's where MCP shines in the wild:

AI-Powered Workflows

Embedding tools like database connectors or payment gateways into conversational interfaces

Real-Time Analytics

Streaming sensor data through an MCP server for on-the-fly analysis by LLMs

Legacy System Integration

Wrapping old-school APIs with MCP tool wrappers to make them AI-friendly

Model Context Protocol (MCP) FAQ

FAQ from Model Context Protocol (MCP): Hands-On Mastery & Real-World Solutions?

How do I debug my MCP setup?

Use the MCP Inspector—it's like a debugger for your AI toolchain. You'll see request/response timelines and error traces in real time.

Does MCP support WebSockets?

Not directly yet, but the SSE transport handles most real-time use cases. The community is eyeing WebSocket support for 2025.

What happens if a tool crashes?

MCP's error middleware catches exceptions, serializes them into standardized JSON-RPC errors, and even lets you define fallback responses.

Content

Model Context Protocol (MCP) Implementation

This project implements the Model Context Protocol (MCP) for building AI tools. It provides a modular framework that can be used to create MCP-compatible servers and clients.


🔍 What is Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is an open protocol that enables AI assistants to interact with external tools and data sources.

Key Features
  • List available tools and their capabilities
  • Call tools with parameters
  • Handle errors in a consistent way
  • Process tool results in a standardized format

📚 For a detailed overview, see MCP Notes.


✨ Features

Category Features
Core ✅ JSON-RPC 2.0 message handling
✅ Protocol initialization
✅ Capability negotiation
Tools ✅ Tool registration with JSON Schema
✅ Tool invocation and validation
✅ Standardized error handling
Transport ✅ STDIO support
✅ HTTP+SSE Support
Testing ✅ Test clients

📁 Project Structure

src/
├── core/           # Core MCP server implementation
├── transports/     # Transport layer implementations (stdio, HTTP+SSE)
├── tools/          # Tool definitions and handlers
├── examples/       # Example servers and clients
│   └── public/     # Static files for HTTP server
└── index.js        # Main entry point for the library

🚀 Getting Started

Prerequisites

  • Node.js 20.x or later
  • npm or pnpm

Installation

# Clone the repository
git clone https://github.com/AshikNesin/learn-mcp-by-building
cd learn-mcp-by-building

# Install dependencies
npm install
# or
pnpm install

🏃‍♂️ Running the Examples

STDIO Server and Client

Run the STDIO server:

npm run server:stdio
# or
node src/examples/stdio-server.js

Test with the STDIO client:

npm run client:stdio
# or
node src/examples/stdio-client.js

Run both together to see a complete test:

npm run test:stdio
# or
node src/examples/stdio-client.js | node src/examples/stdio-server.js

HTTP+SSE Server and Client

Run the HTTP+SSE server:

npm run server:sse
# or
node src/examples/http-sse-server.js --port 5000

Available options:

  • --port: Port to listen on (default: 5000)
  • --host: Host to bind to (default: localhost)
  • --path: Endpoint path (default: /sse)
  • --cors: Enable CORS (default: true)
  • --serve-static: Serve static files from src/examples/public (default: true)

Test with the HTTP+SSE client:

npm run client:sse
# or
node src/examples/http-sse-client.js --server http://localhost:5000/sse

Once running, you can also access the web-based client interface in your browser at http://localhost:5000:

SSE Client Interface

The interface provides a user-friendly way to interact with the MCP server, with a side-by-side layout showing the calculator controls and real-time logs.

🔍 Using the MCP Inspector

You can use the official MCP Inspector to debug the server:

npm run debug

The MCP Inspector provides a visual interface for monitoring and debugging MCP servers:

MCP Inspector


🧮 Calculator Tool

Operations

  • ➕ add
  • ➖ subtract
  • ✖️ multiply
  • ➗ divide

Parameters

  • operation - Operation type
  • a - First operand
  • b - Second operand

Error Handling

  • Division by zero
  • Invalid operations
  • Type validation
  • Missing parameters

🧑‍💻 Developing with the MCP Framework

Creating a New Server

import { McpServer } from '../core/index.js';
import { StdioTransport } from '../transports/index.js';
import { calculatorToolDefinition, handleCalculatorTool } from '../tools/index.js';

// Create server instance
const server = new McpServer(
  { name: 'my-server', version: '1.0.0' },
  { capabilities: { tools: { listChanged: true } } }
);

// Register tool handlers
server.setRequestHandler('tools/list', () => ({ tools: [calculatorToolDefinition] }));
server.setRequestHandler('tools/call', async (params) => {
  if (params.name === 'calculator') {
    return handleCalculatorTool(params.arguments);
  }
  throw new Error(`Tool ${params.name} not found`);
});

// Start the server
const transport = new StdioTransport();
server.connect(transport)
  .then(() => console.error('Server ready!'));

Creating a New Tool

  1. Create a new file in src/tools/:
// src/tools/my-tool.js
export const myToolDefinition = {
  name: 'my-tool',
  description: 'Description of my tool',
  inputSchema: {
    type: 'object',
    properties: {
      // Define parameters
    },
    required: []
  }
};

export async function handleMyTool(args) {
  // Implement tool logic
  return {
    content: [
      {
        type: 'text',
        text: 'Result from my tool'
      }
    ]
  };
}
  1. Export the tool in src/tools/index.js:
export * from './my-tool.js';

🛠️ Protocol Features

  • ✅ Capability negotiation
  • ✅ Tool list change notifications
  • ✅ Standardized error handling
  • ✅ JSON Schema validation
  • ✅ Structured tool results
  • ✅ Transport layer abstraction

📚 External Resources


📝 License

MIT

Related MCP Servers & Clients