The Future of AI-Human Integration
MCP is Anthropic's open standard that's revolutionizing how AI agents access external data and tools. It's like REST APIs, but designed specifically for the age of AI.
The Problem
- ×AI agents can't reliably access external data
- ×Every integration requires custom code
- ×No standard way for AIs to discover capabilities
- ×Security and context management is inconsistent
The MCP Solution
- ✓Standardized protocol for AI-tool communication
- ✓Secure, bidirectional data exchange
- ✓Auto-discovery of available tools and data
- ✓Context-aware, intelligent integrations
Why This Matters Now
Interactive MCP Testing
Test the live MCP server implementation - see how AI agents discover and use structured data
MCP Client SDK Test
Testing real MCP client connection using @modelcontextprotocol/sdk
Available Tools (0)
Tool Results
Connection Logs
Using Official MCP SDK
This demonstrates the real @modelcontextprotocol/sdk package connecting to your live MCP server via StreamableHTTP transport.
Code Examples & Integration
See how developers and AI agents can integrate with this MCP server
MCP Client Integration
How to integrate with this MCP server in your AI application
// Connect to Andy Cohen's MCP server
import { MCPClient } from '@modelcontextprotocol/sdk';
const client = new MCPClient({
serverUrl: 'https://www.iamandycohen.com/api/mcp',
transport: 'sse' // Server-sent events
});
// Initialize connection
await client.connect();
await client.initialize({
clientInfo: { name: 'MyAI', version: '1.0' },
protocolVersion: '2025-03-26'
});
// Get available tools
const tools = await client.listTools();
console.log('Available tools:', tools);
// Call a tool
const bio = await client.callTool({
name: 'bio',
arguments: { format: 'short' }
});
console.log('Andy's bio:', bio.content);Production Ready
This MCP server is running in production right now. The chat interface above uses these exact patterns to provide AI-powered assistance with real-time tool calls.
Why This Implementation Matters
Building for tomorrow's AI ecosystem, today
Early Adoption
MCP is emerging in 2024. By implementing it now, this site is positioned for the AI-native web that's coming in 2025+.
Production Ready
This isn't a demo - it's a fully functional MCP server handling real requests in production, demonstrating enterprise-grade implementation.
Strategic Thinking
Shows deep understanding of where AI development is heading - not just following trends, but anticipating the infrastructure needs.