We’re exploring the development of shared MCP servers for the Cesium community that enable AI-powered geospatial workflows through the Model Context Protocol (MCP) and would love to hear your thoughts on whether this would be valuable for your workflow.
Example Potential Workflows:
Imagine being able to interact with Cesium through natural language commands like:
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“Fly to the Eiffel Tower and zoom to 500 meters altitude”
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“Find parcels within 800m of light rail with slope less than 15%”
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“Identify hospitals within 10km of earthquake epicenter with evacuation routes”
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“Add markers for all major airports in California”
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“Create a flight path animation from Paris to London with a 30-second duration”
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“Find the nearest parks and draw a 5km radius around each”
Would this be useful for your workflow? We’d appreciate any feedback on:
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What Cesium/geospatial capabilities would you want to control through natural language commands?
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What geospatial or visualization workflows would benefit most from conversational AI interaction?
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What specific features or APIs would be most valuable to expose through shared MCP servers for the community?
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Have you already tried creating Cesium-specific agents or agentic workflows in your product? What worked well or what challenges did you face?
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What shared MCP servers would be most beneficial for the Cesium community to have available?
Looking forward to hearing your thoughts and learning about your use cases!
