How to Use the NOAA Aviation — Airport Weather Intelligence MCP in Cursor

Q: How do I add NOAA Aviation — Airport Weather Intelligence to my Cursor project?

Add the MCP server to your .cursor/mcp.json file in your project root or global directory. Once configured, enable Agent mode in your chat panel to let the editor call the weather tools.

Q: Can Cursor use NOAA Aviation — Airport Weather Intelligence to debug route-planning scripts?

Yes, the editor calls tools like gettaf and getsigmet using this MCP setup to fetch live hazard data while you debug. This lets you test your routing scripts against active weather warnings in real time.

Q: Does NOAA Aviation — Airport Weather Intelligence support automated testing in Cursor?

The editor can trigger getmetar while running this MCP Server to verify your code handles actual weather strings. This replaces static test fixtures with live data from the Aviation Weather Center.

Q: How do I filter pilot reports by time inside the editor?

You can pass an age parameter in hours to the getpirep tool. This restricts the data to recent reports, allowing your code to focus only on active turbulence or icing hazards.

Write flight planning code with real-time airport weather using NOAA Aviation — Airport Weather Intelligence inside Cursor.

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Connect NOAA Aviation — Airport Weather Intelligence MCP to Cursor

Create your Vinkius account to connect NOAA Aviation — Airport Weather Intelligence 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 NOAA Aviation — Airport Weather Intelligence with Cursor

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Build weather-aware code using the Cursor MCP Server

`get_metar` feeds live, raw airport weather observations directly to Cursor during active coding sessions. Your editor uses these real-time data packets to generate and test parsing logic instead of forcing you to write mocks. You can ask the editor to write a parser for wind shear or temperature spreads, and it will use actual METAR strings to verify the code works. This eliminates the guesswork of handling complex weather formats.

Generate flight route logic with TAF forecasts

`get_taf` retrieves 24-hour terminal forecasts that Cursor parses to help you write automated dispatch logic. The editor reads the forecast groups, including wind shifts and visibility changes, to help you build smart routing algorithms. You write the core logic while the editor tests it against real forecast data. This ensures your dispatch code handles edge cases like changing weather minimums correctly.

Integrate pilot reports and station metadata

`get_pirep` pulls real-time reports of icing and turbulence, while `get_aviation_station` gets the physical location of the reporting station. Cursor uses this combined data to help you build mapping tools and routing scripts. Having actual pilot feedback right in your editor lets you write precise filtering scripts for turbulence altitudes. You do not have to leave your code to check if your test cases match actual atmospheric conditions.

Setup guide

Set up NOAA Aviation — Airport Weather Intelligence 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 NOAA Aviation — Airport Weather Intelligence 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 NOAA Aviation — Airport Weather Intelligence transactions." If the MCP tools are loaded correctly, Cursor will call the NOAA Aviation — Airport Weather Intelligence tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json

{
  "mcpServers": {
    "noaa-aviation-airport-weather-intelligence-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about NOAA Aviation — Airport Weather Intelligence MCP in Cursor

Add the MCP server to your `.cursor/mcp.json` file in your project root or global directory. Once configured, enable Agent mode in your chat panel to let the editor call the weather tools.

Yes, the editor calls tools like `get_taf` and `get_sigmet` using this MCP setup to fetch live hazard data while you debug. This lets you test your routing scripts against active weather warnings in real time.

The editor can trigger `get_metar` while running this MCP Server to verify your code handles actual weather strings. This replaces static test fixtures with live data from the Aviation Weather Center.

You can pass an age parameter in hours to the `get_pirep` tool. This restricts the data to recent reports, allowing your code to focus only on active turbulence or icing hazards.

The server only transmits standard ICAO station codes and age filters to NOAA using this MCP Server. Your source code and local project files remain entirely inside your local editor environment.

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