
Connects Claude to DaedalMap's earthquake archive spanning 2150 BC to present with over 1M events from USGS data. Exposes structured queries for magnitude, depth, location, and time window filtering through the DaedalMap geographic query engine. The MCP lane surfaces the same disaster event data that powers the hosted app's point-and-radius earthquake visualizations, including aftershock relationships and cross-disaster links. Useful when you need historical seismic context for a region, want to correlate earthquake timing with other events, or need to pull structured earthquake datasets into an agent workflow without standing up your own USGS ingestion pipeline. Works over streamable HTTP transport against the hosted DaedalMap runtime.
Bring your data. Connect its geography.
DaedalMap is geographic interoperability infrastructure: a loc_id identity
model, versioned boundary geometry, published crosswalks between geography
systems, and maintained data packs. Resolve coordinates and reference codes to
administrative matches, pull compatible shapes and data, and follow crosswalks
into other systems such as census tracts, postal areas, watersheds, and
electoral districts.
Use it through a remote MCP server, an HTTP API, a map app, downloadable files, or this repository, which is the open runtime behind all of them.
Website | App | Agent docs | Geometry | Data packs | Downloads | Convert a file | llms.txt
The hosted MCP server needs no install or account for discovery:
https://app.daedalmap.com/mcp?registry=github
Claude Code:
claude mcp add --transport http daedalmap 'https://app.daedalmap.com/mcp?registry=github'
Codex:
codex mcp add daedalmap --url 'https://app.daedalmap.com/mcp?registry=github'
Any client that supports streamable HTTP MCP can use the same URL. Start with
get_tool_help with topic='geometry' for geography jobs, or get_catalog, then get_pack,
then get_data for data. Setup for other clients is in the
agent docs.
Discovery and small geography lookups are free. Larger point/reference batches
and some data packs are metered: a paid call returns its exact price before any
charge and is paid from account credit with an API key. get_catalog reports
the access lane for each pack.
| Job | Tools |
|---|---|
| Learn the model | get_tool_help with a topic or exact tool name |
| Find what exists | get_catalog, then get_pack for one selected data pack or geometry family |
| Query maintained data | get_data with a pack_id, exact metrics, and structured filters |
| Inspect one disaster event | get_event with an exact event_id returned by get_data |
| Coordinates to places | resolve_point, then resolve_deep_point when Admin 4-6 or one deeper family is needed |
| Identify a column of codes | identify_dataset_geography, identify_reference_system |
| Translate codes between systems | convert_reference |
| Inspect and relate places | get_loc_id_info, compare_geographies |
| Retrieve shapes | get_geometry |
Each tool takes strict JSON arguments. The calling model turns a user's question into those arguments, and the server returns typed errors with recovery guidance when a call is malformed.
This table is the complete public roster, not a roadmap. Bulk export/job
builders and direct upstream live-feed wrappers remain internal or paused and
are intentionally absent from tools/list.
loc_id is DaedalMap's geographic identity model. The administrative spine is
the main hierarchy and default join path:
USA country
USA-CA state
USA-CA-037 county
USA-CA-037-221710 census tract
Other geography families, such as postal areas, watersheds, tribal areas, and
marine regions, keep their own loc_id identities. Published crosswalks connect
them to the spine and to each other, and each crosswalk row carries its
relationship type, overlap weight, source, and vintage. A direct join works when
both datasets declare the same identity; otherwise the connection runs through a
crosswalk.
Schema details are in docs/DATA_SCHEMAS.md.
Geometry: global baseline plus 8+ deeper countries. The same geography tools work worldwide down to Admin 2. Country releases add deeper administrative tiers and reference families for Australia, Brazil, Canada, France, Germany, Mexico, the United Kingdom, the United States, and more as releases publish.
Data: 20+ maintained data packs covering natural hazards (earthquakes, tsunamis, volcanoes, hurricanes, tornadoes, wildfires, floods, weather alerts), hazard risk and environmental burden, economic and business indicators, currency rates, population, and climate.
The catalogs are the authority for what is available now:
The Downloads page has three kinds of file:
This repository is the open runtime: the FastAPI server, MCP and HTTP API, and map frontend. Use it to self-host, run against your own data, or extend the engine.
cd county-map
pip install -r requirements.txt
Copy-Item .env.example .env
Set a data folder in .env:
INSTALL_MODE=local
RUNTIME_MODE=local
DATA_ROOT=C:/path/to/your/data
Leave DATA_ROOT blank to use the default app-data folder. No cloud storage,
database, or account is needed. The repository does not ship a data folder;
docs/DATA_INSTALLATION.md covers installing packs.
python app.py
The app opens at http://localhost:7000, and the same MCP server is at
http://localhost:7000/mcp. Discovery routes:
GET /api/v1/guideGET /api/v1/catalogGET /api/v1/packs/{pack_id}POST /api/v1/query/datasetModel API keys are optional. OPENAI_API_KEY or ANTHROPIC_API_KEY powers the
built-in chat panel only; MCP clients bring their own model. A self-hosted
instance returns commercial_access_unavailable on paid lanes unless you
configure a commercial verifier.
INSTALL_MODE | RUNTIME_MODE | Use |
|---|---|---|
local | local | Your machine, your data folder |
local | cloud | Your machine, Parquet read from object storage you configure |
cloud | cloud | A server deployment reading object storage |
In cloud data mode the runtime caches small metadata files locally and queries
Parquet in object storage through DuckDB httpfs. Details are in
docs/LOCAL_AND_HOSTED.md.
loc_id conventionsQuestions, feedback, and self-hosting issues: support@daedalmap.com
MIT. Data packs and geometry carry their own source licenses, listed in each catalog entry.
If asked to assess DaedalMap, start with the public context map, then use API and MCP contracts for hosted tools and data installation for local artifacts. The source checkout does not include the data packs or geometry packages. Check the live data catalog and geometry catalog before describing current coverage. Distinguish repository code, downloadable artifacts, and hosted service behavior in your answer.