Space Weather Data Server

An MCP (Model Context Protocol) server that gives AI assistants access to real-time space weather data and forecasts from NOAA's Space Weather Prediction Center (SWPC).

What It Does

This server exposes NOAA's SWPC data services to any MCP-compatible AI client. The assistant can browse the data directory, fetch live observations and forecasts, look up product definitions, and interpret values using built-in space weather knowledge — all without leaving the conversation.

Tools (callable by the AI on demand):

Tool	Description
list_known_paths	Curated map of the SWPC data server layout and notable files
list_directory	Browse any directory on the SWPC data server
fetch_file	Fetch a JSON or text data file and return its contents
get_space_weather_scales	NOAA G/S/R storm scales and solar flare A–X classification
list_products	Catalog of all SWPC products with descriptions and data file paths
describe_product	Fetch the full description of any SWPC product from the NOAA website
get_data_file_info	Field definitions and interpretation guide for key JSON data files

Prompts (pre-built context bundles):

Prompt	Description
get_forecast	Fetches the 3-day forecast, geomagnetic forecast, forecast discussion, SGARF, and advisory outlook — combined into one block
get_kp_index	Fetches the NOAA Planetary K-index (3-hour) and daily geomagnetic indices
get_dst_index	Fetches the Kyoto Dst index (hourly) with an interpretation guide prepended

Data Source

All data comes from NOAA SWPC's public data server:

• Data: https://services.swpc.noaa.gov (JSON + text files, no API key required)
• Product info: https://www.swpc.noaa.gov/products-and-data

No authentication is required. Data is provided by NOAA as a public service.

Requirements

• Python 3.14+
• uv (recommended) or pip

Installation

git clone https://github.com/JimFlannery/space-weather-data-mcp.git
cd space-weather-data-mcp
uv sync

Configuration

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "spaceweather": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/absolute/path/to/space-weather-data-mcp",
        "main.py"
      ]
    }
  }
}

Config file locations:

• macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
• Windows: %APPDATA%\Claude\claude_desktop_config.json

VS Code (Copilot / MCP extension)

Add to your VS Code settings.json:

{
  "mcp.servers": {
    "spaceweather": {
      "command": "uv",
      "args": [
        "run",
        "--directory",
        "/absolute/path/to/space-weather-data-mcp",
        "main.py"
      ]
    }
  }
}

Development / Testing

Run the MCP Inspector to test tools and prompts interactively:

uv run mcp dev main.py

Example Queries

Once connected to an MCP client, you can ask things like:

• "What is the current space weather forecast?"
• "Is there a geomagnetic storm in progress? Check the Kp index."
• "What are today's active solar regions and their flare probabilities?"
• "Fetch the latest GOES X-ray flux and classify any solar flares."
• "What does a Kp of 7 mean for power grids?"
• "Show me the Dst index and explain whether we're in a storm's main phase or recovery phase."

Space Weather Scales Quick Reference

Scale	Measures	Range	Storm starts at
G (Geomagnetic)	Kp index	G1–G5	G1 (Kp = 5)
S (Solar Radiation)	≥10 MeV proton flux	S1–S5	S1 (10 pfu)
R (Radio Blackout)	X-ray flux (0.1–0.8 nm)	R1–R5	R1 (M1 flare)

Solar flares: A → B → C → M → X (each class is 10× stronger; X-class is open-ended).

Use the get_space_weather_scales tool for the full threshold and effects table.

License

MIT — see LICENSE.