MCP 101

import { MCPServer, text } from "mcp-use/server";
import { z } from "zod";

server.tool({
  name: "get_weather",
  description: "Get weather for a city",
  schema: z.object({ city: z.string() }),
}, async ({ city }) => {
  return text(`Sunny, 22°C in ${city}`);
});

server.resource({
  name: "app_config",
  uri: "config://application",
  description: "Current application settings",
}, async () => ({
  contents: [{ uri: "config://application", text: '{"env":"production"}' }]
}));

import { z } from "zod";

server.prompt({
  name: "code_review",
  description: "Generate a code review prompt",
  schema: z.object({ language: z.string(), focus: z.string().default("general") }),
}, async ({ language, focus }) => ({
  messages: [{ role: "user", content: `Review this ${language} code for ${focus}.` }]
}));

import { MCPClient } from "mcp-use";

const client = new MCPClient({
  mcpServers: {
    everything: { command: "npx", args: ["-y", "@modelcontextprotocol/server-everything"] }
  }
});

await client.createAllSessions();
const session = client.getSession("everything");
const tools = await session.listTools();
const result = await session.callTool("add", { a: 1, b: 2 });
await client.closeAllSessions();

import { MCPAgent, MCPClient } from "mcp-use";
import { ChatOpenAI } from "@langchain/openai";

const client = new MCPClient({
  mcpServers: {
    playwright: { command: "npx", args: ["@playwright/mcp@latest"] }
  }
});

const agent = new MCPAgent({ llm: new ChatOpenAI({ model: "gpt-5.5" }), client });
const result = await agent.run({ prompt: "Find the best restaurant in San Francisco" });
await client.closeAllSessions();