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Daedalmap Geographic Data

@xyver

Repository

About Daedalmap Geographic Data

Remote MCP server for geographic data — earthquakes, tsunamis, volcanoes, hurricanes, floods, tornadoes, FX rates, UN SDG, World Factbook, WorldPop. Free discovery + free packs; earthquakes & tsunamis paid via x402 on Base USDC. Start with get_catalog, then get_pack.

#mcp-server#geospatial#geographic-data#disaster-data#earthquakes#fx-rates#x402#data-api#data-retrieval#location-data

Config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "daedalmap": {
      "type": "streamable-http",
      "url": "https://app.daedalmap.com/mcp?registry=mcpso"
    }
  }
}

Tools

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Daedalmap Geographic Data?

Daedalmap Geographic Data is an MCP server and HTTP API for geographic data. It lets users query disasters, demographics, and economic indicators using plain language instead of assembling GIS workflows. It is built for developers, researchers, and anyone who needs geographic data without complex tooling.

How to use Daedalmap Geographic Data?

For hosted usage, connect to https://app.daedalmap.com/mcp (streamable HTTP). Start with get_catalog, then get_pack to retrieve pack metrics. For self-hosted, clone the repository, install dependencies, set environment variables (ANTHROPIC_API_KEY or OPENAI_API_KEY and DATA_ROOT), and run python app.py. The runtime exposes discovery and query endpoints.

Key features of Daedalmap Geographic Data

  • Map-first geographic query engine with plain language input
  • 40+ curated data sources across disasters, demographics, economics, and climate
  • Animated, type-specific disaster rendering (point, track, radial, polygon)
  • Supports both hosted (no setup) and self-hosted/local runtime modes
  • Data delivered as packs with explicit release gates and entitlement states

Use cases of Daedalmap Geographic Data

  • Show earthquakes, floods, wildfires, storms, volcanoes, or tsunamis for a place and time window
  • Compare population, economic, and disaster context in a single workflow
  • Move between local development, self-hosted runtime, and hosted-style runtime without changing the mental model

FAQ from Daedalmap Geographic Data

Can I use Daedalmap Geographic Data without any setup?

Yes. Most users can use the hosted MCP server at https://app.daedalmap.com/mcp with no setup. Free packs include currency, volcanoes, hurricanes, floods, tornadoes, UN SDG, World Factbook, and WorldPop. Paid packs (earthquakes, tsunamis) are available via x402 on Base mainnet USDC.

What data sources does Daedalmap Geographic Data include?

It includes 40+ curated sources: global disasters (earthquakes, hurricanes, tsunamis, volcanoes, wildfires, tornadoes, floods, landslides), global indicators (CO2, health, economy, SDGs, demographics), and country-specific sources (USA, Canada, Australia). Disaster events include 22M+ geographic relationships and 566K cross-disaster links.

How do I run Daedalmap Geographic Data locally?

Clone the repository, install dependencies (`pip install -r

Frequently asked questions

Can I use Daedalmap Geographic Data without any setup?

Yes. Most users can use the hosted MCP server at `https://app.daedalmap.com/mcp` with no setup. Free packs include currency, volcanoes, hurricanes, floods, tornadoes, UN SDG, World Factbook, and WorldPop. Paid packs (earthquakes, tsunamis) are available via x402 on Base mainnet USDC.

What data sources does Daedalmap Geographic Data include?

It includes 40+ curated sources: global disasters (earthquakes, hurricanes, tsunamis, volcanoes, wildfires, tornadoes, floods, landslides), global indicators (CO2, health, economy, SDGs, demographics), and country-specific sources (USA, Canada, Australia). Disaster events include 22M+ geographic relationships and 566K cross-disaster links.

How do I run Daedalmap Geographic Data locally?

Clone the repository, install dependencies (`pip install -r

Comments

Basic information

Category

Data & Analytics

Transports

stdio

Author

xyver

Submitted by

Bryan Hellard

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