No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by gaopengbin · MCP Server · ★ 137
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is cesium-mcp safe to install? View the security audit →
Cesium MCP 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. Website · 中文 · Getting Started · API Reference <img src="https://img.shields.io/github/actions/workflow/status/gaopengbin/cesium-mcp/ci.yml?branch=main&label=CI&style=flat-s
| Stars | 137 |
| Forks | 26 |
| Language | JavaScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.2680125933381/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-19 |
| Created | 2026-03-14 |
| Platforms | browser, claude-code, mcp, node |
| Est. Tokens | ~15k |
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cesium-mcp is Protocol-agnostic CesiumJS AI control runtime for MCP, WebMCP, function calling, and browser agents.. It is categorized as a MCP Server with 137 GitHub stars.
cesium-mcp is primarily written in JavaScript. It covers topics such as 3d-globe, 3d-visualization, ai.
You can find installation instructions and usage details in the cesium-mcp GitHub repository at github.com/gaopengbin/cesium-mcp. The project has 137 stars and 26 forks, indicating an active community.
cesium-mcp is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to cesium-mcp on Agent Skills Hub include cesium-ai-integrations, mcp-google-map, claude-historian-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: