AI Agent Interoperability in Practice: MCP & A2A Across Frameworks

AI Agent Interoperability in Practice: MCP & A2A Across Frameworks

💡 What You Will Learn

AI Agent Interoperability in Practice: MCP & A2A Across Frameworks

📜 Table of Contents

• MCP Protocol Guide
• How it works
• Build a server
• Why it matters

MCP Protocol Guide

MCP (Model Context Protocol) is an open standard for connecting AI models to external tools and data sources.

How it works

• MCP Server: exposes tools and data
• MCP Client: discovers and uses tools
• Protocol: standardizes communication

Build a server

from mcp.server import Server
app = Server("my-api")

@app.tool()
async def search(query: str) -> list:
    """Search the database"""
    return db.search(query)

app.run()

Why it matters

MCP is becoming the standard for AI-tool integration. One server works with Claude, GPT, Cursor and any other MCP-compatible client. Not knowing MCP in 2026 is like not knowing REST APIs in 2015.