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Query OpenStreetMap data and run read-only spatial analysis in natural language.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "osm-mcp" yet — see the docs or source repo.
Query hospitals, pharmacies, and subway stations within 2 km of Chaoyang District, Beijing, and summarize counts by category.
Returns matching OSM features and a count summary by category.
List parks and museums in central Shanghai and show their names and locations.
Outputs matching map features with basic attributes such as name, category, and spatial location.
Analyze the spatial relationship between cafes and subway stations in Nanshan, Shenzhen, and find cafes close to stations.
Provides results filtered by spatial relationships, supporting distance or proximity analysis.
Data analysts or researchers can ask which amenities exist in an area and how many belong to each category without writing complex geospatial queries. It is useful for quickly understanding urban facility distribution.
Developers can query map features by category, such as parks, hospitals, or stations, and filter them by spatial area. This is suitable for adding read-only geospatial lookup to applications.
When you need to compare distances, proximity, or area relationships between places, you can trigger spatial analysis queries in natural language. It is suitable for initial geospatial research and data exploration.
It provides read-only query tools over OpenStreetMap data stored in PostGIS. You can use natural language to query features, categories, and spatial analysis results.
Based on the description, it is read-only and focused on querying and analysis. The provided information does not mention any ability to write or edit OSM data.
A known prerequisite is access to OpenStreetMap data in a PostGIS environment. For exact installation and configuration steps, see the source repository.
Add geocoding, routing, and place search to your LLM workflows.
Read, inspect, analyze vector geospatial data, and render interactive maps.
Query locations, addresses, and map data using natural language.
Use natural language to access Google Maps search, routing, and geospatial APIs.
Enable ontology-based geographic reasoning, place disambiguation, and spatial constraint validation.
Query weather, forecasts, air quality, and geocoding in natural language.