Use GDACS with your AI.
Connect your account once and let the AI you already use work with it, without building another integration. Monitor global disaster alerts. earthquakes, cyclones, floods, volcanoes, wildfires and droughts with real-time impact estimates.
Developed, maintained, and hosted by Vinkius.
MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED
Waiting for input…
Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.
Complete set · 8 capabilities
The complete GDACS capability set.
These are the exact actions your AI can choose when you ask it to work with GDACS.
01-04
4 capabilities in this set.
Part of 8 available through GDACS.
- 01
Get latest cyclones
Returns cyclone names, categories, wind speeds, locations, alert levels and forecast tracks. Get latest tropical cyclones worldwide
- 02
Get event data
Use the eventid and eventtype from event list results. Get detailed data for a specific disaster event
- 03
Get event list
Supports filtering by event type (EQ=earthquake, TC=cyclone, FL=flood, VO=volcano, WF=wildfire, DR=drought), alert level (red, orange, green), and date range. Returns GeoJSON features with event names, types, magnitudes, alert levels, dates and affected countries. Search disaster events
- 04
Get latest droughts
Returns drought locations, start dates, severity levels, alert levels and affected populations. Get latest drought events worldwide
05-08
4 capabilities in this set.
Part of 8 available through GDACS.
- 05
Get latest earthquakes
Returns magnitude, depth, location, alert level and affected countries. Optionally filter by minimum magnitude, alert level and date range. Get latest earthquakes worldwide
- 06
Get latest floods
Returns flood locations, start dates, alert levels, affected populations and severity estimates. Get latest floods worldwide
- 07
Get latest volcanoes
Returns volcano names, locations, eruption types, alert levels and ash plume information. Get latest volcanic activity worldwide
- 08
Get latest wildfires
Returns fire locations, start dates, burned areas, alert levels and affected populations. Get latest wildfires worldwide
Observed, not estimated
857ms average. Fast in production.
GDACS is checked daily against the live service.
- Fastest day
- 751ms
- Slowest day
- 1348ms
- 14-day trend
- Improving-35%
Connect your client
One URL. Every client.
Activate the Connector, copy your link, and paste it into the client you already use. 8 capabilities arrive ready to run.
Preview access · not provider authentication
The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of GDACS, so you can see the experience inside your AI.
It does not authenticate your account with GDACS. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.
GDACS Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_cMME5KFb73UJqgt8tNFBDgnpZCcri3zSk3dLZDyI/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — GDACS capabilities are ready to use.
{
"mcpServers": {
"gdacs-mcp": {
"url": "https://edge.vinkius.com/vk_preview_cMME5KFb73UJqgt8tNFBDgnpZCcri3zSk3dLZDyI/mcp"
}
}
}
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Step-by-step instructions for each client are in the guide. How to connect
FAQ
Questions GDACS owners ask.
- 01
Do I need an API key?
No! GDACS data is completely free and open. No authentication required. Just subscribe and start monitoring disasters.
- 02
What do the alert levels mean?
GDACS uses three alert levels: Green (low impact, local effects), Orange (medium impact, significant regional effects), Red (high impact, potentially catastrophic with international response needed).
- 03
How far back can I search for events?
You can search events from the past 1 to 30 days using the period or date_from/date_to parameters. For historical analysis, use date_from and date_to with specific dates.
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