xyver/daedal-map
by Various
Open geographic query engine — ask place-based questions in natural language, get answers on a map. Covers disasters, demographics, economics, and climate data across 40+ sources.
MCP
xyver/daedal-map
Added 11 June 2026
Overview
An open geographic query engine that accepts natural language questions about places and returns answers on a map. It integrates data from over 40 sources covering disasters, demographics, economics, and climate. The tool is written in Python and available on GitHub.
Best for
Best for
Developers seeking a natural language interface for geographic data exploration
Use cases
- Query climate data for specific regions
- Map demographic patterns across cities
- Analyze disaster impact zones
Notes
An open geographic query engine that accepts natural language questions about places and returns answers on a map. It integrates data from over 40 sources covering disasters, demographics, economics, and climate. The tool is written in Python and available on GitHub.
0 stars on GitHub. Last updated 2026-06-11. Licensed MIT.
Use cases
- Query climate data for specific regions
- Map demographic patterns across cities
- Analyze disaster impact zones
Pros
- Natural language interface lowers the barrier for spatial analysis
- Covers 40+ data sources for broad geographic queries
- Open source and Python-based for easy customization
Cons
- Zero stars on GitHub suggests limited community adoption
- No evidence of active maintenance or updates
- May require additional setup for external data source APIs
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Natural language interface lowers the barrier for spatial analysis
- Covers 40+ data sources for broad geographic queries
- Open source and Python-based for easy customization
Cons
- Zero stars on GitHub suggests limited community adoption
- No evidence of active maintenance or updates
- May require additional setup for external data source APIs