Model Context Protocol (MCP) Documentation

🚀 What is MCP?

The Model Context Protocol (MCP) is an open protocol that standardizes how applications provide context to Large Language Models (LLMs). It enables seamless communication between host applications (like Claude Desktop, IDEs, or AI assistants) and contextual data sources.

                    🎯 Key Benefits: MCP eliminates the need for custom integrations by providing a universal standard for context sharing, making AI assistants more powerful and versatile.
                

📖 View Complete Implementation Guide

🏗️ Architecture Overview

🎯 Updated MCP Amplify Architecture

MCP Amplify Architecture - Cost Optimized

Migrated to AWS Amplify - 95% Cost Reduction Achieved!

🔗 View Full Size Diagram

🖥️ MCP Hosts

Applications that want to provide context to LLMs (Claude Desktop, IDEs, AI tools)

🔌 MCP Clients

Components within hosts that maintain server connections and translate between app interfaces and MCP protocol

🛠️ MCP Servers

Lightweight programs that expose specific capabilities through the standardized MCP protocol

⚡ Core Capabilities

🔧 Tools

Enable LLMs to perform actions through function calling:

{
  "name": "create_file",
  "description": "Create a new file with specified content",
  "inputSchema": {
    "type": "object",
    "properties": {
      "path": {"type": "string"},
      "content": {"type": "string"}
    }
  }
}
                

📚 Resources

Provide contextual data that LLMs can read and understand:

{
  "uri": "file:///project/README.md",
  "name": "Project Documentation",
  "mimeType": "text/markdown"
}
                

📝 Prompts

Reusable prompt templates with dynamic arguments:

{
  "name": "code_review",
  "description": "Analyze code for potential issues",
  "arguments": [
    {"name": "language", "description": "Programming language"},
    {"name": "code", "description": "Code to review"}
  ]
}
                

🌟 Real-World Applications

💾 Database Integration

Query databases, execute SQL, manage schemas directly from your AI assistant

📁 File System Access

Read, write, and manage files and directories with full context awareness

🌐 API Integration

Connect to REST APIs, GraphQL endpoints, and web services seamlessly

☁️ Cloud Services

Manage AWS, Azure, GCP resources through standardized interfaces

🔄 Version Control

Git operations, repository management, and code collaboration tools

📊 Data Analysis

Process datasets, generate visualizations, and perform statistical analysis

🚦 Getting Started

Ready to implement MCP in your applications? Here's how to begin:

# Install MCP SDK
npm install @modelcontextprotocol/sdk

# Create a simple MCP server
import { Server } from '@modelcontextprotocol/sdk/server/index.js';

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

// Add your tools, resources, and prompts
server.setRequestHandler(ListToolsRequestSchema, async () => ({
  tools: [/* your tools */]
}));
                

📖 View Documentation 🛠️ Example Servers 📚 Implementation Guide

🎯 Current Implementation

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☁️ AWS Amplify - Static site hosting with CI/CD
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🔒 AWS Certificate Manager - Automatic SSL/TLS certificates
📍 Route 53 DNS - Domain management
🗄️ S3 Storage - Static assets and diagrams
💰 95% Cost Reduction - From $123-143/month to $1-5/month

🔗 Model Context Protocol