mcp-use/dist/examples/airbnb_use.js

A utility library for integrating Model Context Protocol (MCP) with LangChain, Zod, and related tools. Provides helpers for schema conversion, event streaming, and SDK usage.

/**
 * Example demonstrating how to use mcp-use with Airbnb.
 *
 * This example shows how to connect an LLM to Airbnb through MCP tools
 * to perform tasks like searching for accommodations.
 *
 * Special Thanks to https://github.com/openbnb-org/mcp-server-airbnb for the server.
 */
import { ChatOpenAI } from '@langchain/openai';
import { config } from 'dotenv';
import { MCPAgent, MCPClient } from '../index.js';
// Load environment variables from .env file
config();
async function runAirbnbExample() {
    // Create MCPClient with Airbnb configuration
    const config = {
        mcpServers: {
            airbnb: {
                command: 'npx',
                args: ['-y', '@openbnb/mcp-server-airbnb', '--ignore-robots-txt'],
            },
        },
    };
    const client = new MCPClient(config);
    // Create LLM - you can choose between different models
    const llm = new ChatOpenAI({ model: 'gpt-4o' });
    // Create agent with the client
    const agent = new MCPAgent({ llm, client, maxSteps: 30 });
    try {
        // Run a query to search for accommodations
        const result = await agent.run('Find me a nice place to stay in Barcelona for 2 adults '
            + 'for a week in August. I prefer places with a pool and '
            + 'good reviews. Show me the top 3 options.', 30);
        console.error(`\nResult: ${result}`);
    }
    finally {
        // Ensure we clean up resources properly
        await client.closeAllSessions();
    }
}
if (import.meta.url === `file://${process.argv[1]}`) {
    runAirbnbExample().catch(console.error);
}