MCP服务器SDK

┌─────────────────────┐         ┌──────────────────────────┐
│   Your Application  │  SDK    │   MCP-Builder.ai Cloud   │
│                     │ ─────►  │                          │
│  - Web frontend     │  WS     │  - MCP Server you built  │
│  - CLI tool         │ ◄─────  │  - Tool execution        │
│  - Backend service  │         │  - LLM orchestration     │
└─────────────────────┘         └──────────────────────────┘

npm install mcpbuilder-ai

import { MCPChatClient } from 'mcpbuilder-ai';

const client = new MCPChatClient({
  projectToken: 'your-project-token',
  deploymentName: 'my-deployment',
  cacheHistory: false,
});

client
  .onToken((token) => process.stdout.write(token))
  .onFinal((text, toolCalls) => console.log('\nDone!'))
  .onError((error) => console.error('Error:', error));

await client.connect();
await client.sendMessage('Hello, what can you do?');

pip install mcpbuilder-ai

import asyncio
from mcpbuilder import MCPChatClient

async def main():
    client = MCPChatClient(
        project_token="your-project-token",
        deployment_name="my-deployment",
        cache_history=False,
    )

    client \
        .on_token(lambda t: print(t, end="", flush=True)) \
        .on_final(lambda text, tc: print("\nDone!")) \
        .on_error(lambda msg: print(f"Error: {msg}"))

    await client.connect()
    await client.send_message("Hello, what can you do?")

asyncio.run(main())