LIVE DataLink.ai
Recipe

Add live weather to an AI agent

How do I stop an AI assistant from guessing the current weather?

Use a location string to retrieve current conditions, forecasts, and air quality through the same authenticated MCP endpoint as the rest of your data stack.

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The steps

  1. weather_current
    Resolve a city, ZIP code, or place and return current temperature, humidity, wind, pressure, UV, visibility, and precipitation.
  2. weather_forecast
    Optional: retrieve a one-to-sixteen-day forecast for planning workflows.
  3. air_quality
    Optional: add current air-quality and pollutant readings for health or outdoor decisions.

Result: A current weather answer grounded in a live source rather than model memory.

Safe example

weather_current

{
  "location": "Austin, TX"
}

Returns current conditions for Austin with observation time, temperature, feels-like temperature, humidity, wind, cloud cover, pressure, precipitation, UV index, and visibility.

This is a fixed documentation example. It makes no API call. The separate anonymous evaluation remains atomically capped at 25 lifetime calls per network; ongoing use requires a metered key.

Open this tool in the metered playground →

Connect from your client

Cursor and bearer-header MCP clients

Add this remote server configuration, replacing YOUR_API_KEY.

{
  "mcpServers": {
    "livedatalink": {
      "url": "https://livedatalink.ai/mcp",
      "headers": {
        "Authorization": "Bearer YOUR_API_KEY"
      }
    }
  }
}
VS Code / GitHub Copilot

Save as .vscode/mcp.json. VS Code prompts for the key instead of committing it.

{
  "inputs": [
    {
      "id": "livedatalink-key",
      "type": "promptString",
      "description": "LiveDataLink API key",
      "password": true
    }
  ],
  "servers": {
    "livedatalink": {
      "type": "http",
      "url": "https://livedatalink.ai/mcp",
      "headers": {
        "Authorization": "Bearer ${input:livedatalink-key}"
      }
    }
  }
}
OpenAI Responses API

Pass LiveDataLink as a remote MCP tool with an authorization header.

const response = await openai.responses.create({
  model: "gpt-5.6",
  input: "Use LiveDataLink to answer the request.",
  tools: [{
    type: "mcp",
    server_label: "livedatalink",
    server_url: "https://livedatalink.ai/mcp",
    headers: { Authorization: "Bearer YOUR_API_KEY" },
    require_approval: "never"
  }]
});
Claude and Claude Desktop

Claude's current remote-connector flow accepts authless or OAuth servers and does not accept LiveDataLink's API-key header directly. Do not paste the older claude_desktop_config.json remote-URL example. OAuth support is the remaining prerequisite for a native Claude connector.

Raw JSON-RPC smoke test
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "weather_current",
    "arguments": {
      "location": "Austin, TX"
    }
  }
}

Send this body to https://livedatalink.ai/mcp with Authorization: Bearer YOUR_API_KEY.

All 284 tools run under the same key; the free tier gives you 1,000 queries/month with no card.

Related searches: weather mcp server · live weather api ai · chatgpt current weather · claude weather tool · mcp weather forecast.

FAQ

How do I how do i stop an ai assistant from guessing the current weather?
Use a location string to retrieve current conditions, forecasts, and air quality through the same authenticated MCP endpoint as the rest of your data stack. In LiveDataLink: weather_current → weather_forecast → air_quality. A current weather answer grounded in a live source rather than model memory.
What does this cost?
The free tier includes 1,000 queries/month with no credit card. Every tool in this recipe is callable on the free tier; paid plans start at $10/month for higher volume.
How do I connect?
Add https://livedatalink.ai/mcp as a Streamable-HTTP MCP server with a Bearer key in Claude, Cursor, or n8n, then call the tools in order. Get a free key at https://livedatalink.ai/signup/free.

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