How to Use the NOAA Space Weather — Solar & Geomagnetic Intelligence MCP in Cursor

Q: How do I set up the NOAA Space Weather — Solar & Geomagnetic Intelligence server in Cursor?

Create a .cursor/mcp.json file in your project's root directory. Add the server's configuration details under the mcpServers key. Once saved, the NOAA tools will be available to Cursor's agent in that project.

Inject live NOAA space weather data directly into your code with Cursor's agent, turning geomagnetic alerts into working functions.

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Connect NOAA Space Weather — Solar & Geomagnetic Intelligence MCP to Cursor

Create your Vinkius account to connect NOAA Space Weather — Solar & Geomagnetic 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 Space Weather — Solar & Geomagnetic Intelligence with Cursor

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Build Real-Time Alerting Functions

Stop mocking API calls for your monitoring tools. Tell Cursor's agent to write a function that checks for geomagnetic storms. It will use `get_planetary_k_index` to fetch the live Kp index and build the logic right into your codebase. Now you have a working Python script or TypeScript module that calls a real endpoint. When you ask the agent, "Write a function that alerts me if the Kp index is over 5," it produces code that actually works, pre-filled with the current index as a test value.

Scaffold Data Models with this MCP Server

You're building an app for aurora chasers. Instead of looking up data structures, just ask the agent. "Scaffold a Swift class using data from `get_aurora_forecast` and `get_k_index_forecast`." It will generate the class with properties matching the real API response. This isn't just about saving time; it's about accuracy. The agent uses the live tool output to create data models that won't break when you hit the production API. It's the difference between writing code that *should* work and code that *does*.

Generate Code for Grid & Satellite Ops

If you're writing software for critical infrastructure, you need correct data. Ask the agent: "Write a Go function that fetches the `get_dst_index`. If it's below -100, log a critical warning." Cursor will write the function, including the API call and error handling. You can do the same for solar activity. Use `get_solar_flux` to check for elevated conditions or `get_solar_wind` to monitor for high-speed streams. The agent generates the exact code you need to integrate this intelligence into your operational software.

Setup guide

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

.cursor/mcp.json

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

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Common questions about NOAA Space Weather — Solar & Geomagnetic Intelligence MCP in Cursor

Create a `.cursor/mcp.json` file in your project's root directory. Add the server's configuration details under the `mcpServers` key. Once saved, the NOAA tools will be available to Cursor's agent in that project.

Yes. You can ask the agent to perform tasks that require multiple data points. For example: "Fetch the current `get_planetary_k_index` and `get_solar_wind` speed, then write a Python function that returns 'High Risk' if Kp > 6 and wind speed > 700 km/s."

No. Access to the tools is included with your Vinkius subscription for this MCP server. Cursor does not charge extra for using MCP tools with its agent.

The data is pulled live from NOAA's APIs when the agent calls a tool. If you ask for the Dst index with `get_dst_index`, you are getting the latest value available from the Space Weather Prediction Center at that moment.

The server is designed to only proxy public NOAA space weather telemetry. It doesn't access your code or any local files. Your connection through Cursor is routed via the Vinkius platform's zero-trust infrastructure, ensuring each request is isolated and authenticated without exposing secrets.

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