Hi Cesium Community,
We’re currently exploring ways to enhance the development experience with Cesium by integrating AI assistants into the workflow.
As part of this effort, we’ve been experimenting with Context7 ( Context7 - Up-to-date documentation for LLMs and AI code editors ), an MCP (Model Context Protocol) server that provides AI tools with real‑time access to the latest documentation, source code references, and API details.
At the moment, Context7 has five Cesium‑related documentation sources and repositories indexed, which we believe can help significantly reduce AI hallucinations during Cesium development:
| Documentation | Original | Context7 | Context7 Library ID |
|---|---|---|---|
| CesiumJS API Reference | CesiumJS API | Context7 CesiumJS | /websites/cesium_learn_cesiumjs |
| Cesium Repository | GitHub cesium | Context7 cesium | /cesiumgs/cesium |
| Cesium for Unreal | GitHub cesium-unreal | Context7 cesium-unreal | /cesiumgs/cesium-unreal |
| Cesium for Unity | GitHub cesium-unity | Context7 cesium-unity | /cesiumgs/cesium-unity |
| 3D Tiles Specification | OGC 3D Tiles | Context7 3D Tiles | /websites/ogc_cs_22-025r4 |
We’ve opened a GitHub PR with details and a wiki on how to connect your AI assistant with the Context7 MCP server:
https://github.com/CesiumGS/cesium/pull/13160
We’d love to hear your feedback:
-
Has Context7 (or MCP‑based tooling in general) been useful in your Cesium development workflow?
-
Are there other AI tools or approaches that you’ve found especially helpful?
-
Have you encountered situations where Context7 (or similar AI tools in general) doesn’t provide the expected support?
- Specific examples or test cases would be extremely helpful for future improvements.
-
Are there any concerns or considerations we should keep in mind as we continue exploring this?
Your feedback would be greatly appreciated!