mcp-use/dist/examples/filesystem_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.

/**
 * Basic usage example for mcp-use.
 *
 * This example demonstrates how to use the mcp-use library with MCPClient
 * to connect any LLM to MCP tools through a unified interface.
 *
 * Special Thanks to https://github.com/modelcontextprotocol/servers/tree/main/src/filesystem
 * 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();
const serverConfig = {
    mcpServers: {
        filesystem: {
            command: 'npx',
            args: [
                '-y',
                '@modelcontextprotocol/server-filesystem',
                'THE_PATH_TO_YOUR_DIRECTORY',
            ],
        },
    },
};
async function main() {
    // Create MCPClient from config
    const client = MCPClient.fromDict(serverConfig);
    // Create LLM
    const llm = new ChatOpenAI({ model: 'gpt-4o' });
    // const llm = init_chat_model({ model: "llama-3.1-8b-instant", model_provider: "groq" })
    // const llm = new ChatAnthropic({ model: "claude-3-" })
    // const llm = new ChatGroq({ model: "llama3-8b-8192" })
    // Create agent with the client
    const agent = new MCPAgent({ llm, client, maxSteps: 30 });
    // Run the query
    const result = await agent.run('Hello can you give me a list of files and directories in the current directory', 30);
    console.log(`\nResult: ${result}`);
}
if (import.meta.url === `file://${process.argv[1]}`) {
    main().catch(console.error);
}