Weather MCP

A Model Context Protocol server that gives AI agents weather data — current conditions and forecast for any location — as a callable tool. For assistants, planning and travel agents.

🛠 Tools (1)

• get_weather — Current weather and forecast for a location.

🔌 Connect (Claude Desktop / Cursor / n8n / OpenAI Agents SDK)

Add this MCP server to your client config:

{
  "mcpServers": {
    "weather": {
      "url": "https://nexgendata--weather-mcp-server.apify.actor/mcp"
    }
  }
}

Sample agent prompt:

Get the current weather and 5-day forecast for Chicago.

Pricing: $0.02 per tool call (Pay-Per-Event). Runs in Standby mode.

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Related NexGenData MCP Servers

Use case	Actor
Google Maps MCP (local business search)	google-maps-mcp-server
News MCP	news-mcp-server
Web-scraping MCP	web-scraping-mcp-server
Reddit MCP	reddit-mcp-server
26-server gateway	enterprise-mcp-gateway

FAQ

Q: What tool does this server expose? A: One tool — get_weather(location) — returning current conditions and a multi-day forecast.

Q: Does it cover non-US regions? A: Yes — pass any city name or lat,lon coordinates. Resolution varies by location.

Q: How do I call it? A: Connect from an MCP client (Claude Desktop, Cursor, Cline, Windsurf) and invoke get_weather at reasoning time.

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Input Example

This MCP server requires no run input — it is started by your MCP-compatible AI client (Claude Desktop, Cursor, Cline, Windsurf, n8n) and tools are invoked at reasoning time. To launch it directly via the Apify API for a test ping, pass an empty input:

{}

Output Example

When invoked through an MCP client, the get_weather tool returns structured JSON that the LLM consumes directly. A representative response looks like:

{
  "type": "text",
  "text": "Weather data for 'London, UK'",
  "structuredContent": {
    "weather": [
      {
        "location": "London, UK",
        "temperature_c": 14,
        "conditions": "Light rain",
        "humidity_pct": 82,
        "wind_kph": 19,
        "forecast": [
          { "day": "Tue", "high_c": 16, "low_c": 9, "conditions": "Showers" },
          { "day": "Wed", "high_c": 18, "low_c": 10, "conditions": "Partly cloudy" }
        ]
      }
    ],
    "total": 1
  }
}

The underlying Apify dataset stores the same items in CSV / JSONL / Excel export formats for downstream pipelines.

How NexGenData Pricing Works

Every NexGenData actor uses pay-per-event pricing — you only pay for results that actually land in your dataset. No monthly minimum, no seat fees, no surprise overage bills.

• Actor Start: a single-event charge each time you spin the actor up (scaled to memory size)
• Result / tool call: charged per MCP tool call
• No charge for retries, internal proxy rotation, or failed sub-requests — those are absorbed by the platform

Apify Platform Bonus

New to Apify? Sign up with the NexGenData referral link — you get free platform credits on signup and help fund the maintenance of this actor fleet.

Integration Surface

Every actor in the NexGenData catalog can be triggered from:

• Apify console — point-and-click run
• Apify API — REST + webhooks
• Apify Python / JS SDKs — programmatic batch
• Zapier, Make.com, n8n — official integrations
• MCP — exposed as an MCP tool for Claude / ChatGPT / Cursor agents
• Schedules — built-in cron for daily / weekly / monthly runs
• Webhooks — POST results to any HTTPS endpoint on dataset write

Support

NexGenData maintains a large catalog of Apify actors and ships updates regularly. Bug reports via the Apify console issues tab get a response within 24 hours.

Home: thenextgennexus.com Full catalog: apify.com/nexgendata