50 lines
1.8 KiB
TypeScript
50 lines
1.8 KiB
TypeScript
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
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import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
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import { z } from "zod";
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// 1. Crear el servidor
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// Es la interfaz principal con el protocolo MCP. Maneja la comunicación entre el cliente y el servidor.
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const server = new McpServer({
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name: 'Demo',
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version: '1.0.0'
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});
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// 2. Definir las herramientas
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// Las herramientas le permiten al LLM realizar acciones a través de tu servidor.
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server.tool(
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'fetch_weather',
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'Tool to fetch the weather of a city', // Descripción de la herramienta
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{
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city: z.string().describe('City name')
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},
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async ({ city }) => {
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const response = await fetch(`https://geocoding-api.open-meteo.com/v1/search?name=${city}&count=10&language=en&format=json`)
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const data = await response.json()
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if (! data.hasOwnProperty("results")) {
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return {
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content: [
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{
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type: 'text',
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text: `No se encontró información del tiempo para ${city}`
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}
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]
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}
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}
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const { latitude, longitude } = data.results[0]
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const weatherResponse = await fetch(`https://api.open-meteo.com/v1/forecast?latitude=${latitude}&longitude=${longitude}&hourly=temperature_2m¤t=temperature_2m,precipitation,is_day,rain,wind_speed_10m&forecast_days=1`)
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const weatherData = await weatherResponse.json()
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return {
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content: [
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{
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type: 'text',
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text: JSON.stringify(weatherData, null, 2)
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}
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]
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}
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}
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)
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// 3. Escuchar las conexiones del cliente
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const transport = new StdioServerTransport(); // Para ejecutarlo en local para probar.
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await server.connect(transport); |