MCP Server - OpenAI Responses

import os
from openai import OpenAI
 
client = OpenAI()
 
response = client.responses.create(
    model="gpt-4.1-mini",
    input=[
        {
            "role": "user",
            "content": [
                {"type": "input_text", "text": "Will it rain in Chicago tonight?"}
            ],
        }
    ],
    tools=[
        {
            "type": "mcp",
            "server_url": "https://mcp.api.xweather.com/mcp",
            "server_label": "xweather",
            "authorization": os.environ["XWEATHER_API_KEY"],
            "allowed_tools": [
                "xweather_get_current_weather",
                "xweather_get_weather_forecast"
            ]
        }
    ],
)
 
print(response.output_text)

import OpenAI from "openai";
 
const client = new OpenAI();
 
const response = await client.responses.create({
  model: "gpt-4.1-mini",
  input: [
    {
      role: "user",
      content: [
        { type: "input_text", text: "Summarize lightning risk near Miami Beach right now." }
      ]
    }
  ],
  tools: [
    {
      type: "mcp",
      server_url: "https://mcp.api.xweather.com/mcp",
      server_label: "xweather",
      authorization: process.env.XWEATHER_API_KEY ?? "",
      allowed_tools: [
        "xweather_get_current_weather",
        "xweather_get_lightning_strikes"
      ]
    }
  ]
});
 
console.log(response.output_text);