by lifemate-ai · MCP Server · ★ 376
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git clone https://github.com/kmizu/embodied-claude.gitTaken from the project's README on GitHub. Check the security audit before running it.
None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.
| Stars | 376 |
| Forks | 39 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-25 |
| Created | 2026-01-30 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~18k |
Embodied Claude 日本語版 README はこちら / Japanese README Giving AI a Physical Body "Apparently, she's not a fan of the outdoor AC unit." (original tweet in Japanese) A collection of MCP servers that give Claude "eyes", "neck", "ears", "voice", and a "brain" (long-term memory) using affordable hardware (starting from $30). You can even take it outside for a walk.
These tools work well together with embodied-claude for enhanced workflows:
Explore other popular mcp server tools:
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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: