Space Weather Data MCP Server
Provides AI assistants with access to real-time space weather data and forecasts from NOAA's Space Weather Prediction Center, enabling queries and interpretations of geomagnetic storms, solar flares, and related indices.
README
Space Weather Data MCP 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.
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