AI Agent互操作性实战：用MCP和A2A打通不同Agent框架

🏗️ 打通不同框架的Agent，就像让说中文的人和说英文的人合作——协议是翻译官，但真正干活还得靠架构。...

💡 你将学到

🏗️ 打通不同框架的Agent，就像让说中文的人和说英文的人合作——协议是翻译官，但真正干活还得靠架构。...

📜 目录

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

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.

相关文章

• MCP规范（8,869星）详解2026：Model Context Protocol如何标准化AI工具访问
• One API（3.6万星）大模型网关搭建指南2026：一个Key打通OpenAI、Claude、Gemini和DeepSeek
• 2026年AI API价格对比：GPT-4o/Claude/DeepSeek哪个最划算？