MCP server

DaedalMap Disaster and Geospatial Data Official

com.daedalmap/county-map

Checked 25 Oct 2026, 20:29 UTC · Connected to it and listed its tools

Geospatial MCP server for earthquake, tsunami, volcano, disaster, and FX data queries.

Website Source

At a glance

Type

MCP server

Publisher

daedalmap.com (verified by the MCP Registry)

Status

Working at last check

Tools

14

Token cost

About 7,537 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

25 Oct 2026, 20:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http county-map https://app.daedalmap.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.county-map]
url = "https://app.daedalmap.com/mcp"

Gemini CLI

{"mcpServers":{"county-map":{"httpUrl":"https://app.daedalmap.com/mcp"}}}

Cursor

{"mcpServers":{"county-map":{"url":"https://app.daedalmap.com/mcp"}}}

VS Code

{"servers":{"county-map":{"type":"http","url":"https://app.daedalmap.com/mcp"}}}

Antigravity

agy mcp add county-map https://app.daedalmap.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"county-map","server_url":"https://app.daedalmap.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"county-map","server_url":"https://app.daedalmap.com/mcp"}

Tools

• convert_reference ~1508 tokens
  Convert within one declared scope per call: iso3 is required and names one ISO3 country, GLOBAL, or MARINE. A batch uses one from_system, to_system, and crosswalk_id, with at most 25000 requested result rows. Convert X -> loc_id -> Y; omit to_system to enter the loc_id universe. For admin or city na
• get_data ~996 tokens
  Retrieve rows from one selected published data pack using exact metrics, loc_id-based region filters, time/metric filters, sorting, and a row limit. Disaster event rows include stable event_id values for get_event drill-down. A parent administrative loc_id selects matching descendant rows at the pac
• get_event ~483 tokens
  Retrieve one exact disaster event and explicitly requested relationships, affected places, native observations, or geometry. Use get_data to obtain the stable event_id first.
• identify_dataset_geography ~377 tokens
  Fast structural column selector: pass bounded named columns to find recognized geography headers or latitude/longitude pairs. It does not infer a country, level, or identifier system, open country indexes, or validate values. If more than one column is plausible, select one; then call identify_refer
• identify_reference_system ~757 tokens
  Identify one selected identifier column within one required ISO3 country, GLOBAL, or MARINE scope. Pass bounded strings preserving leading zeros. It checks maintained identifier evidence, not dataset columns or polygons. Ambiguous systems stay unselected until expected.system is supplied. Use identi
• resolve_deep_point ~729 tokens
  Second-pass containment only after resolve_point. Supply the original WGS84 coordinate or a bounded point array, one shared shallow_loc_id returned by resolve_point, and one canonical family from get_catalog(catalog='geometry'). family defaults to administrative; shape-backed families use direct bbo
• resolve_point ~745 tokens
  Resolve WGS84 coordinates in exactly one selected scope and family. GLOBAL administrative finds Admin0; an ISO3 administrative scope finds its shallow country bank. MARINE requires one specific jurisdiction family (for example exclusive_economic_zone or high_seas), or water_body with water_kind=name

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