mcp-use/dist/examples/http_example.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.

/**
 * HTTP Example for mcp-use.
 *
 * This example demonstrates how to use the mcp-use library with MCPClient
 * to connect to an MCP server running on a specific HTTP port.
 *
 * Before running this example, you need to start the Playwright MCP server
 * in another terminal with:
 *
 *     npx @playwright/mcp@latest --port 8931
 *
 * This will start the server on port 8931. Resulting in the config you find below.
 * Of course you can run this with any server you want at any URL.
 *
 * Special thanks to https://github.com/microsoft/playwright-mcp 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 main() {
    const config = { mcpServers: { http: { url: 'https://gitmcp.io/docs' } } };
    // Create MCPClient from config
    const client = MCPClient.fromDict(config);
    // Create LLM
    const llm = new ChatOpenAI({ model: 'gpt-4o' });
    // Create agent with the client
    const agent = new MCPAgent({ llm, client, maxSteps: 30 });
    // Run the query
    const result = await agent.run('Which tools are available and what can they do?', 30);
    console.log(`\nResult: ${result}`);
    await agent.close();
}
if (import.meta.url === `file://${process.argv[1]}`) {
    main().catch(console.error);
}