---

Demo

https://github.com/user-attachments/assets/8a40565a-fcdd-47bf-ae67-bc870611c908

Packages & Entry Points

Module	Role	Status	Links
cesium-mcp-bridge	Protocol-agnostic command dispatcher (60+ tools)	Mainline, actively iterated	· source
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	· source
cesium-mcp-dev	CesiumJS API knowledge base for coding assistants	Maintained	· source

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.

Architecture

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 MCP runtime"]
  end

  subgraph core ["cesium-mcp-bridge (browser)"]
    B["60+ tools\nprotocol-agnostic dispatcher"]
    C["CesiumJS Viewer"]
  end

  BA -- "in-page call" --> B
  FC -- "in-page call" --> B
  MCP -- "WebSocket / JSON-RPC" --> B
  B --> C

  style clients fill:#1e293b,stroke:#528bff,color:#e2e8f0
  style core fill:#1e293b,stroke:#12B76A,color:#e2e8f0

The bridge is the only required piece. Pick whichever driver matches your scenario — they all hit the same 60+ tools.

Quick Start

Path 0 — Try in 30 seconds (browser agent, recommended)

Open the live demo, paste an OpenAI-compatible API key, and ask:

"Fly to the Eiffel Tower and drop a red marker"

Fork the examples/browser-agent folder to deploy your own.

Path 1 — Embed in your own web app (function calling)

npm install cesium-mcp-bridge

import { CesiumBridge } from 'cesium-mcp-bridge';

const bridge = new CesiumBridge(viewer);
// Then: send the bridge's tool schema to any LLM that supports function/tool calling,
// route the model's tool calls to bridge.execute(name, params).

See examples/browser-agent/index.html for a complete loop with OpenAI-compatible APIs.

Path 2 — Use from Claude Desktop / Cursor / Dify (MCP)

Install bridge as in Path 1, then start the MCP runtime:

# stdio mode (Claude Desktop, VS Code, Cursor)
npx cesium-mcp-runtime

# HTTP mode (Dify, remote/cloud MCP clients)
npx cesium-mcp-runtime --transport http --port 3000

MCP client config:

{
  "mcpServers": {
    "cesium": {
      "command": "npx",
      "args": ["-y", "cesium-mcp-runtime"]
    }
  }
}

58 Available Tools

Tools are organized into 12 toolsets. Default mode enables 4 core toolsets (~31 tools). Set CESIUM_TOOLSETS=all for everything, or let the AI discover and activate toolsets dynamically at runtime.

i18n: Tool descriptions default to English. Set CESIUM_LOCALE=zh-CN for Chinese.

Toolset	Tools
view (default)	flyTo, setView, getView, zoomToExtent, saveViewpoint, loadViewpoint, listViewpoints, exportScene
entity (default)	addMarker, addLabel, addModel, addPolygon, addPolyline, updateEntity, removeEntity, batchAddEntities, queryEntities, getEntityProperties
layer (default)	addGeoJsonLayer, listLayers, removeLayer, clearAll, setLayerVisibility, updateLayerStyle, getLayerSchema, setBasemap
interaction (default)	screenshot, highlight, measure
camera	lookAtTransform, startOrbit, stopOrbit, setCameraOptions
entity-ext	addBillboard, addBox, addCorridor, addCylinder, addEllipse, addRectangle, addWall
animation	createAnimation, controlAnimation, removeAnimation, listAnimations, updateAnimationPath, trackEntity, controlClock, setGlobeLighting
tiles	load3dTiles, loadTerrain, loadImageryService, loadCzml, loadKml
trajectory	playTrajectory
heatmap	addHeatmap
scene	setSceneOptions, setPostProcess
geolocation	geocode

Relationship with CesiumGS official MCP servers: The camera, entity-ext, and animation toolsets natively fuse capabilities from CesiumGS/cesium-mcp-server (Camera Server, Entity Server, Animation Server) into this project's unified bridge architecture. This means you get all official functionality plus additional tools — in a single MCP server, without running multiple processes.

Examples

See examples/minimal/ for a complete working demo.

Development

git clone https://github.com/gaopengbin/cesium-mcp.git
cd cesium-mcp
npm install
npm run build

Version Policy

Version format: {CesiumMajor}.{CesiumMinor}.{MCPPatch}

Segment	Meaning	Example
1.139	Tracks CesiumJS version — built & tested against Cesium ~1.139.0	1.139.8 → Cesium 1.139
.8	MCP patch — independent iterations for new tools, bug fixes, docs	1.139.7 → 1.139.8

When CesiumJS releases a new minor version (e.g. 1.140), we will bump accordingly: 1.140.0.

Related Projects

• mapbox-mcp — AI control for Mapbox GL JS
• openlayers-mcp — AI control for OpenLayers

Star History

License

MIT