mcpbeat

DaedalMap Flood Events MCP Server

com.daedalmap/floods
answering

DaedalMap Flood Events is answering right now. Last checked 11 min ago. It exposes 4 tools. Last commit 4 Aug 2026.

Global flood events and extent 1985-present from the Dartmouth Flood Observatory and GFD.

Uptime history 41 hours of history · worst hour 50%
41 hours agonow
95.6%
Uptime 24h
87 of 91 checks
4
Tools
read from the server
380 ms
Response time
average over 24h
2
Stars
last commit 4 Aug 2026

Connect this server

Endpoint below is the one we actually reach during checks — not the one copied from a README. Last verified 11 min ago.

run in your terminal
claude mcp add floods --transport http https://app.daedalmap.com/mcp/floods
~/Library/Application Support/Claude/claude_desktop_config.json
{
  "mcpServers": {
    "floods": {
      "url": "https://app.daedalmap.com/mcp/floods"
    }
  }
}
~/.codex/config.toml
[mcp_servers.floods]
url = "https://app.daedalmap.com/mcp/floods"
.cursor/mcp.json
{
  "mcpServers": {
    "floods": {
      "url": "https://app.daedalmap.com/mcp/floods"
    }
  }
}
.vscode/mcp.json
{
  "mcpServers": {
    "floods": {
      "url": "https://app.daedalmap.com/mcp/floods"
    }
  }
}

Available tools 4

Read directly from the server with tools/list, grouped by what they act on. If a tool disappears, we record the date.

catalog
get_catalog
Free discovery. Returns the list of live agent-ready data packs available on DaedalMap.
dataset
query_dataset
Generic structured query for direct source_id or pack_id access using the same contract as POST /api/v1/query/dataset. Free packs: boundaries, currency, distributed_manufacturing, floods, geography, nri, owid, reverse-geocoding, un_sdg, un_wpp, volcanoes, world_bank_wdi. Paid packs: earthquakes, hurricanes, tornadoes, tsunamis, wildfires, world_factbook, worldpop (x402 Base USDC).
disaster
search_disaster_links
Free linked-disaster discovery helper. Searches published cross-disaster link families by event-type direction, optional via-event type, and optional year window. Use this when you want to discover whether a relationship family exists before you have an exact event id.
pack
get_pack
Free discovery. Returns detailed metadata, coverage, freshness, preferred canonical tool guidance, and first-query examples for one pack. Call this before querying a new pack so you can see time shape, coverage limits, and the paste-ready first query.

Endpoints

URLTransportStateLatencyChecked
https://app.daedalmap.com/mcp/floods streamable-http answering 358 ms 11 min ago

DaedalMap Flood Events — questions

Answers built from our own checks of this server.

What can DaedalMap Flood Events do?
It exposes 4 tools, read directly from the server on our last check. Among them: get_catalog, get_pack, query_dataset, search_disaster_links. The full list with descriptions is on this page — we take it from the server itself via tools/list, not from a README. How MCP servers expose tools in the first place →
Is DaedalMap Flood Events working right now?
We send a real MCP handshake every 15 minutes. Over the last 24 hours 87 of 91 checks got a reply (95.6%), average response time 380 ms. The bar chart above shows every period we have measured.
How do I connect DaedalMap Flood Events?
Copy the ready config from this page — we generate it for Claude Code, Claude Desktop, Codex, Cursor and VS Code, each with the file path that client actually reads. It is a remote server, so there is nothing to install — the client connects to the address.
Does DaedalMap Flood Events need an API key?
No. DaedalMap Flood Events completed a full MCP handshake with us as an anonymous client and listed its tools without asking for anything. All 4 of them are readable on this page. This is what we observed, not what the docs claim.
How fast is DaedalMap Flood Events?
It answers our handshake in 380 ms on average, which is faster than 36% of all working MCP servers we measure. The comparison comes from our own checks across the whole registry, every 15 minutes.
Is DaedalMap Flood Events open source?
Yes — it is published under the MIT licence, written in Python and 2 stars on GitHub. The source link is on this page, so you can read exactly what it does with your data before you connect it.