NOAA Space Weather MCP. Know if a solar storm is coming before your satellite fails.
Gemini Works with every AI agent you already use
…and any MCP-compatible client
Just plug in your AI agents and start using Vinkius.
NOAA Space Weather — Solar & Geomagnetic Intelligence gives you real-time metrics on Earth's magnetic field and solar activity. It provides the planetary Kp index, Dst storm intensity, 3-day Kp forecasts, solar wind speed, and aurora probability maps from NOAA’s official feeds.
What your AI agents can do
Get aurora forecast
Gets the probability map for auroras using NOAA's Ovation model, based on solar wind data.
Get dst index
Provides a real-time measurement of geomagnetic storm intensity (Dst index), critical for monitoring ring current effects.
Get k index forecast
Delivers the 3-day Kp index forecast, helping predict when and how severe upcoming geomagnetic activity will be.
Runs the 3-day Kp index forecast to plan for predicted geomagnetic storms and aurora visibility.
Retrieves the Dst index, which measures the current strength of ring current geomagnetic storms around Earth.
Uses the Ovation model to generate a global probability map showing where auroras are likely tonight.
Provides real-time metrics on solar wind speed and its magnetic field (Bz), key drivers of space weather events.
Retrieves the 10.7cm solar flux index, a historical proxy for overall solar activity levels and flare risk.
Ask AI about this MCP
Supported MCP Clients
Gemini Waiting for input…
NOAA Space Weather: 6 Tools for Geomagnetic Intelligence
Use these tools to pull real-time metrics on geomagnetic activity, solar wind conditions, storm intensity, and predicted solar events from NOAA's official data feeds.
019d75dfget aurora forecast
Gets the probability map for auroras using NOAA's Ovation model, based on solar wind data.
019d75dfget dst index
Provides a real-time measurement of geomagnetic storm intensity (Dst index), critical for monitoring ring current effects.
019d75dfget k index forecast
Delivers the 3-day Kp index forecast, helping predict when and how severe upcoming geomagnetic activity will be.
019d75dfget planetary k index
Gets the current NOAA Planetary K-index (0-9), which is the primary measure of immediate geomagnetic activity and aurora chance.
019d75dfget solar flux
Retrieves the 10.7cm solar radio flux index, acting as a direct proxy for current sunspot activity and overall solar energy output.
019d75dfget solar wind
Gets real-time metrics on solar wind speed (km/s) and the magnetic field strength (Bz), which drives space weather changes.
Choose How to Get Started
Build a custom MCP for your own tools, or connect a ready-made integration from our catalog.
Build Your Own
Turn any API into an MCP. Import a spec, define Agent Skills, or deploy with MCPFusion.
- Import from OpenAPI, Swagger, or YAML specs
- Create Agent Skills with progressive disclosure
- Deploy to edge with MCPFusion framework
- Built in DLP, auth, and compliance on every call
- Real time usage dashboard and cost metering
- Publish to catalog or keep private
Make Your AI Do More
Start with NOAA Space Weather — Solar & Geomagnetic Intelligence, then connect any of our 4,700+ other servers whenever your AI needs more. One click, no limits.
- Use this MCP plus 4,700+ others, all in one place
- Add new capabilities to your AI anytime you want
- Every connection is secured and compliant automatically
- Track usage and costs across all your servers
- Works with Claude, ChatGPT, Cursor, and more
- New servers added to the catalog every week
What you can do with this MCP connector
Listen up. This server pulls live space weather data straight from NOAA's Space Weather Prediction Center. You don't gotta guess what's happening out in the magnetosphere—you check it.
We expose six tools covering everything you need to know about solar and geomagnetic activity. get_planetary_k_index gives you the current NOAA Planetary K-index (0 through 9), which is your primary measure for immediate geomagnetic action and how likely an aurora's gonna be. To check the actual storm intensity, use get_dst_index; it provides a real-time measurement of the Dst index, critical when you're monitoring ring current effects around Earth.
For predicting future activity, you can run get_k_index_forecast. This tool delivers the 3-day Kp index forecast, letting you plan for how severe upcoming geomagnetic storms will be and giving you a heads-up on aurora visibility. You also need to know what's driving this whole mess; use get_solar_wind for real-time metrics covering solar wind speed (in km/s) and the magnetic field strength (Bz), which are the key drivers of space weather changes.
To understand the sun's output, run get_solar_flux. This retrieves the 10.7cm solar radio flux index, acting as a direct proxy for current sunspot activity and overall energy output from the star itself. When you combine that with the wind data, you can generate a global probability map for auroras using get_aurora_forecast, which runs NOAA's Ovation model based on the solar wind metrics.
Basically, this server gives you the full picture: You check immediate geomagnetic status with the K-index and Dst index. You track the sun’s energy output with the 10.7cm flux index and get real-time speed/magnetic field data from the solar wind. You map out what's coming next by checking the 3-day Kp forecast, and you predict where the lights are gonna show up on the night sky using the aurora probability maps.
If your operation depends on reliable radio comms or if you're running sensitive equipment above ground, this is essential. You get metrics that tell you exactly how active the magnetosphere is right now, what it’ll be in three days, and where to look for a killer show when the curtain lifts.
How NOAA Space Weather MCP Works
- 1 Call a specific tool like
get_planetary_k_indexto request the current geomagnetic status. - 2 The server connects to NOAA's APIs, retrieves the latest data points (e.g., Kp score, Dst value, solar wind speed), and processes them.
- 3 Your AI client gets a structured payload containing actionable metrics—not just raw numbers.
The bottom line is: you get clean, verifiable, real-time space weather data from NOAA, ready for your agent to use immediately.
Who Is NOAA Space Weather MCP For?
This is built for operational roles that can't afford a blind spot. Think satellite operators who need to know if an impending storm will fry their payload, or HF radio engineers planning long-haul comms across polar routes. If your job depends on Earth’s magnetic shield staying stable—you need this.
Uses get_dst_index and get_solar_wind to assess if an approaching geomagnetic storm requires payload adjustments or ground station shutdowns.
Checks the Kp index via get_planetary_k_index before scheduling cross-continental HF radio transmissions, avoiding deep fades.
Monitors storm forecasts using get_k_index_forecast to anticipate potential grid stress from Coronal Mass Ejections (CMEs).
What Changes When You Connect
- Predict Storms: Use
get_k_index_forecastto plan weeks ahead. You know when the next geomagnetic event is hitting, allowing time for mission adjustments. - Assess Immediate Risk: Run
get_planetary_k_indexright now. This tells you if conditions are active (Kp ≥ 5), giving instant operational status. - Map Aurora Chances: Check
get_aurora_forecast. You get a global probability map, so you don't waste time hunting when the skies are clear. - Measure Storm Strength: The
get_dst_indexis non-negotiable. It quantifies storm severity (e.g., -100 nT for strong) so you can budget contingency plans. - Track Drivers: By using
get_solar_wind, your agent sees the physical forces—speed and southward Bz—that actually cause the storms, giving deep insight beyond just a number.
Real-World Use Cases
Planning a Polar Satellite Pass
A satellite operator needs to know if an upcoming pass over the poles is safe. They ask their agent to run get_planetary_k_index and get_solar_wind. The agent checks that current solar wind speed isn't spiking and that the Kp index won't hit a critical level during the pass, letting them reschedule if necessary.
Pre-flight Radio Check
An HF radio engineer needs to verify optimal conditions for a long-distance test. They run get_planetary_k_index and examine the forecast using get_k_index_forecast. If they see low predicted Kp scores, they know to delay the transmission until geomagnetic activity increases.
Analyzing Solar Cycle Health
A space research team needs historical context. They use get_solar_flux to gauge overall solar energy output against known flare cycles and correlate that data point with past Dst index readings for a full risk profile.
Checking Immediate Storm Risk
A power grid manager is alerted by an unusual reading. They immediately ask the agent to run get_dst_index and compare it against historical thresholds, confirming if the current ring current intensity warrants immediate load shedding protocols.
The Tradeoffs
Using a single index score
Just checking the Kp Index (e.g., 'Kp is 5, so we're fine'). This ignores why it hit 5—was it due to high solar wind speed or low Bz? The cause matters.
→
Don't stop at one number. Always correlate get_planetary_k_index with the underlying data from get_solar_wind. A Kp score is just a symptom; the solar wind metrics are the diagnosis.
Ignoring forecast windows
Relying only on current readings. The worst storms often build slowly over several hours, and you need to know when the danger window starts.
→
Always check get_k_index_forecast alongside get_dst_index. This gives you a timeline—you'll get warnings about the intensity curve, not just today’s reading.
Treating data as static
Assuming that because get_solar_flux is currently 80 SFU, the sun will behave normally. Solar activity changes rapidly and unpredictably.
→
Use multiple tools together. Pair a stable reading like get_solar_flux with highly volatile data points like get_aurora_forecast for a balanced risk assessment.
When It Fits, When It Doesn't
Use this MCP Server if your operational safety, communication reliability, or equipment uptime depends on the solar system environment. Specifically, you need to combine metrics—for example, correlating high values from get_solar_flux with southward Bz readings from get_solar_wind, and then cross-referencing that combined risk against the predicted intensity from get_k_index_forecast. Don't use this if your problem is simply 'Do I need to check the weather?' — you’ll be better off using a standard terrestrial meteorological API. Also, do not rely solely on the forecast; always cross-reference predictions with current readings like get_planetary_k_index and get_dst_index. This tool provides inputs for decision-making, but human oversight is mandatory.
Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by NOAA. 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.
VINKIUS INFRASTRUCTURE
Cloud Hosted
Managed infra
V8 Isolated
Sandboxed per request
Zero-Trust Proxy
No stored credentials
DLP Enforced
Policy on every call
GDPR Compliant
EU data residency
Token Compression
~60% cost reduction
Works with Claude, ChatGPT, Cursor, and more
The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.
This server provides 6 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.
Available Capabilities
Dealing with space weather data usually means juggling a dozen different dashboards.
Right now, you’re probably opening the NOAA site, bookmarking three different APIs, and then manually cross-referencing which index is spiking relative to your mission's operational window. You copy raw values into spreadsheets, hoping nothing critical gets missed in the data transfer.
With this MCP Server, that manual process vanishes. Your agent calls `get_planetary_k_index` and simultaneously checks the storm severity using `get_dst_index`. It pulls together the current Kp score *and* the predicted 3-day trend—you get a single, immediate risk assessment.
NOAA Space Weather — Solar & Geomagnetic Intelligence MCP Server
Before this server, if you needed to know the full scope of activity, you had to check solar flux, then run a separate query for solar wind speed, and finally manually verify the aurora probability. It was slow, brittle, and prone to human error.
Now, your agent handles the whole cascade: it grabs `get_solar_flux` for context, checks `get_solar_wind` for the driver, and immediately runs `get_aurora_forecast`. You don't just get data; you get a full picture of the energy transfer across space.
Common Questions About NOAA Space Weather MCP
How do I check if an aurora is visible using get_aurora_forecast? +
The get_aurora_forecast tool provides a global probability map based on the Ovation model. It doesn't guarantee visibility, but it tells you the likelihood by calculating how favorable the current solar wind conditions are for light show activity.
Is get_dst_index better than get_planetary_k_index? +
They measure different things. The Kp index is a generalized score (0-9) of geomagnetic activity, while the Dst index measures the actual strength and depth of ring current storms around Earth in nanoTesla (nT). Use both for full context.
What data do I need to predict storm risk? +
To assess comprehensive storm risk, you must combine get_solar_wind metrics—specifically speed and the southward Bz component—with the output of get_k_index_forecast. The solar wind is the cause; the Kp forecast is the effect.
Can I use get_solar_flux for anything other than aurora planning? +
Yes. get_solar_flux gives you a proxy for overall sunspot activity and solar energy output, helping you determine if current conditions are trending toward a period of high flare risk or low background activity.
How frequently does get_planetary_k_index update its data? +
The K-index updates every three hours. This schedule is set by NOAA, so don't expect real-time streaming updates; you'll need to poll the endpoint for the latest reading.
What units are used when I call get_dst_index? +
The Dst index returns values in nanoTesla (nT). This measurement quantifies the intensity of the ring current, which is crucial for calculating storm severity.
Does get_k_index_forecast cover specific geographic locations or just global estimates? +
The forecast provides predicted geomagnetic activity generally. While you should always cross-reference results with your local location's operational needs, the index itself is a broad measure of planetary magnetic field changes.
If I get an error when running get_solar_wind, what does that mean? +
An error usually points to temporary service disruption. If you hit an issue, wait five minutes and try the call again; excessive calls can also trigger rate limits.
What Kp level is needed to see aurora? +
Kp ≥ 5: visible from northern US/southern Canada. Kp ≥ 7: visible from mid-latitudes (40°N). Kp = 9: rare — aurora visible from southern US/Europe. Check the Ovation model for precise probability at your location.
Use it with your favorite AI tools
Connect this server to Cursor, Claude, VS Code, and more.
More in this category
FDA (openFDA)
Access public health data via openFDA — search drug labeling, monitor adverse events, and track food recalls directly through your AI agent.
Alexa Smart Home
Control Alexa-connected smart home devices — lights, thermostats, speakers, and sensors via Alexa Smart Properties API.
FRED Series — U.S. Economic Time Series
Search and retrieve data from 816,000+ official U.S. economic time series: GDP, inflation, unemployment, interest rates, money supply — with built-in transformations, frequency aggregation, and vintage analysis.
You might also like
DoubleTick
Equip your AI agent to manage WhatsApp conversations, track contacts, and monitor message delivery via the DoubleTick API.
ManyChat
Automate messenger marketing via ManyChat — manage subscribers, tags, and flows directly from any AI agent.
USDA NASS
Access US agricultural statistics via USDA NASS — query crop yields, livestock data, farm economics and demographics from any AI agent.