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Control dynamic maps and layers to visualize geospatial data in AI workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Map Server" yet — see the docs or source repo.
Use the map tool to create a map view, add a raster basemap, then add a vector layer with city boundaries, and zoom the view to the target area.
A map view with the basemap and city boundary layer loaded, centered on the specified area.
Change the existing road vector layer to blue lines, set the width to 3, and increase opacity so major roads are clearer.
The road layer styling is updated on the map, making major roads more visually prominent.
Move the map center to the given coordinates and set the zoom level to a range suitable for viewing city-level details.
The map view updates to the specified center and zoom level for local area inspection.
Manage GeoServer REST API tasks and spatial service configuration with natural language.
Transform coordinate systems and map projections using EPSG, WKT, and Proj formats.
Connect to the mcp API via MCP to extend AI tool capabilities.
Call tools like weather lookup via MCP with reusable resources and prompts.
Generate type-safe charts through MCP for AI apps using structured data.
Search places, routes, and geospatial data with Baidu Maps capabilities.