AI-powered 3D globe control via MCP. Camera, layers, markers, spatial analysis with CesiumJS.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"io-github-gaopengbin-cesium-mcp-runtime": {
"command": "<see-readme>",
"args": []
}
}
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The minimum-overhead way to add AI commands to CesiumJS
cesium-mcp-bridge is a protocol-agnostic command dispatcher with 60+ tools, drivable from browser-only agents, function calling, or MCP — your choice.
Three entry points: Browser Agent (simplest, zero backend) · function calling (embed in your web app) · MCP runtime (Claude Desktop / Cursor / Dify)
Try it now — open the live browser demo, no install, no signup.
https://github.com/user-attachments/assets/8a40565a-fcdd-47bf-ae67-bc870611c908
| Module | Role | Status | Links |
|---|---|---|---|
| cesium-mcp-bridge | Protocol-agnostic command dispatcher (60+ tools) | Mainline, actively iterated | |
| examples/browser-agent | Browser-only AI agent (recommended starting point, zero backend) | Recommended | example · live demo |
| cesium-mcp-runtime | MCP server (stdio + HTTP) | Stable, slow updates | |
| cesium-mcp-dev | CesiumJS API knowledge base for coding assistants | Maintained |
Which one? Personal project or quick try → browser-agent. Existing web app embedding an AI assistant → bridge + your own function calling. Calling from Claude Desktop / Cursor / Dify → MCP runtime.
flowchart LR
subgraph clients ["AI Drivers (pick one)"]
BA["Browser Agent\n(in the same page)"]
FC["Your web app\nfunction calling"]
MCP["Claude / Cursor / Dify\nvia
... [View full README on GitHub](https://github.com/gaopengbin/cesium-mcp#readme)