GDACS
Actively maintained
≈ 33.2kvisits/mo
Established · estimate, read Oct 14, 2026
- For
- disaster managers and humanitarian responders in the first phase after sudden-onset disasters
- Activity
- Actively maintainedsite updated 2 days ago
- Company
- since 2004per Wikidata
- Used for
- monitor alerts for earthquakes, cyclones, floods and volcanoes
- track forest fire and drought events on maps
- view satellite imagery and emergency mapping products for events
- Has an MCP server (1 in the registry)public registry →
Price not read
- Founded2004per Wikidata
These are GDACS's own statements, read from its pages. We did not audit them. A line that is missing was not found on the pages we read; it does not mean the practice is absent.
- MCP serverorg.gdacs/apiverified in the MCP registry
- Stateanswers, 8 toolschecked 2026-10-15
- Address to connectapi.gdacs.org/mcp
This card as JSON, for your agent →
Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.
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Sign in to leave a noteWhat is GDACS?
Aggregates global disaster alerts from earthquakes, cyclones, floods, volcanoes, droughts and fires onto a map and event feed for responders.
Who is GDACS for?
disaster managers and humanitarian responders in the first phase after sudden-onset disasters
Do people use GDACS?
Established: ≈ 33.2k visits/mo · estimate, 2026-10.
Is GDACS still maintained?
Actively maintained: site updated 2 days ago.
How we read a tool
No votes, no reviews, no vendor claims. Every week a crawler reads each tool's own site and a few public registries, and the words on the card are bands over what it read.
- Use: visits to the site (estimated), installs from npm and PyPI, presence in Chrome's usage report.
- Activity: the newest release on GitHub, npm or PyPI; the newest dated page on the site; open roles on a public jobs board.
- Price: the vendor's own pricing page, read with the date. A figure is printed only when it is on that page.
- The line and the use cases are written by us from the homepage, one tool at a time, and refused when they repeat the vendor's marketing.
How AI assistants read each site — the reading vendors ask us about — is on each tool's own visibility page.
How we read every tool → · By INITE Atlas Desk
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