How to Use the AccuWeather MCP in Cursor

Q: How do I install the AccuWeather MCP Server in Cursor?

Create an mcp.json file in your project root directory. Add the server command or remote URL under the servers key. Toggle Agent mode on in your chat panel to start querying.

Inject real AccuWeather API responses directly into your codebase using Cursor to build weather-aware applications fast.

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Connect AccuWeather MCP to Cursor

Create your Vinkius account to connect AccuWeather to Cursor and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AccuWeather with Cursor

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Code with live MCP Server data

Your `get_hourly_forecast` tool lets your agent pull actual 24-hour metric data into your editor while you write a forecasting widget. You tell Cursor to build a React component for tomorrow's weather. Instead of generating fake placeholder text, it grabs real wind speed, direction, and cloud cover. Your UI renders exactly how it will look in production because the AI is working with live JSON responses.

Build complex location search logic

Firing `search_location` through the MCP connection forces your AI client to handle real-world duplicate city names before writing the routing logic. You ask it to write an autocomplete dropdown for a travel app. It tests the endpoint with "New York" and sees the exact array structure returned by the API. The agent then writes the correct parsing code to extract the location keys, countries, and regions without guessing.

Test severe alert components instantly

Active flood warnings arrive straight to your workspace via `get_weather_alarms`. You need to style the emergency banner for a local news website. Cursor asks the API for current severe events and uses that exact severity level and description to populate your component props. You see the red warning banner render in your local preview environment immediately.

Setup guide

Set up AccuWeather MCP in Cursor

Prerequisites

Cursor installed (macOS, Windows, or Linux)
Active Vinkius subscription with a valid endpoint token

1

Open MCP Settings

Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".
2

Add the AccuWeather MCP

Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Enable Agent mode

Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.
4

Verify the connection

Ask Cursor something like "List my recent AccuWeather transactions." If the MCP tools are loaded correctly, Cursor will call the AccuWeather tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "accuweather-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AccuWeather. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AccuWeather MCP in Cursor

Create an `mcp.json` file in your project root directory. Add the server command or remote URL under the servers key. Toggle Agent mode on in your chat panel to start querying.

Your agent pulls live metric conditions and uses those specific values to draft your test assertions. It writes tests that expect the exact temperature and humidity formats the API actually returns.

The agent runs the index groups tool to discover available health and outdoor categories first. Then it writes the fetch calls required to pull flight delay probabilities or UV exposure ratings into your code.

No. The MCP connection lets your agent hit the endpoints directly during the coding process. You skip writing stub files because your components consume actual JSON arrays from the start.

Everything routes through a zero-trust ephemeral environment. When your agent passes a city name to get the daily forecast, that location string vanishes the second the network call finishes. Your project data never mixes with the weather queries.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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