main.ts•2.1 kB
import { McpServer } from "@modelcontextprotocol/sdk/server/mcp.js";
import { StdioServerTransport } from "@modelcontextprotocol/sdk/server/stdio.js";
import { z } from "zod";
// 1). I have to create a server that uses MCP. The server should have an endpoint that accepts a post request with a json body containing some variables and retrurns a response with some calculated value based on a those variables. The server should use Zod to validate the input and output data. The server should listen on port 3000
const server = new McpServer({
name: "PRO INDUSTRIAL MCP SERVER",
version: "1.0.0"
});
// 2). I have to define tools that LLM permit to do actions through the server
server.tool(
"fetch-weather", //Tool name
"tool to fetch the weather of a city", // Tool description
{
// here there are the input parameters that the tool accepts
city: z.string().describe("City name"),
},
async ({ city }) => {
// This space is where the code goes something that the user wants to do
const response = await fetch(`https://geocoding-api.open-meteo.com/v1/search?name=${city}&count=10&language=en&format=json`); // Here you can call an external API to get the weather of the city
const dataResponse = await response.json();
if (dataResponse.length === 0) {
return {
content: [
{
type: "text",
text: `I can't find the weather for the city ${city}. Try another city.`,
}
]
}
}
const { latitude, longitude } = dataResponse.results[0];
const weatherResponse = await fetch(`https://api.open-meteo.com/v1/forecast?latitude=${latitude}&longitude=${longitude}&hourly=temperature_2m¤t=temperature_2m,precipitation,is_day,rain`);
const weatherData = await weatherResponse.json();
return {
content: [
{
type: "text",
text: JSON.stringify(weatherData, null, 2),
}
]
}
}
)
// 3). To create the conections from customers to the server
const transport = new StdioServerTransport();
await server.connect(transport);