Empower AI agents to control OpenLayers maps using natural language commands via the Model Context Protocol.
Sponsored
Connect any Model Context Protocol (MCP)-compatible AI agent to OpenLayers maps, enabling seamless natural language control over map functionalities. This AI-powered tool provides over 30 operations across view, layers, features, overlays, interactions, styles, and drawing, allowing users to manipulate maps intuitively through conversation. It consists of a Node.js runtime (MCP Server) that bridges AI agents with a browser-based OpenLayers map via WebSockets, making advanced geospatial interactions accessible to AI.
Key Features
010 GitHub stars
0230+ tools across 7 toolsets for comprehensive map manipulation
03AI-powered natural language control for OpenLayers maps
04Modular architecture with separate runtime (MCP Server) and browser bridge
05Support for dynamic enabling/disabling of toolsets
06Leverages OpenLayers' extensive geospatial capabilities including projections and various data formats
Use Cases
01Programmatically fly to locations, adjust zoom levels, and modify map views via AI commands
02Allow AI to control drawing operations on the map and retrieve drawn features
03Add, remove, and update map layers and features (e.g., GeoJSON, markers, polygons) through natural language
04Automate map interactions such as taking screenshots or extracting features from specific areas
