by Extelligence-ai · MCP Server · ★ 406
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git clone https://github.com/Extelligence-ai/bagel.git && cd bagel
claude mcp add --transport sse bagel http://0.0.0.0:8000/sseTaken from the project's README on GitHub.
None of the 43 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 43 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.
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 | 406 |
| Forks | 31 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 66/100 |
| Open Issues | 32 |
| Last Updated | 2026-11-11 |
| Created | 2025-06-27 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~15k |
Unlike cat videos, most data are trapped in the physical world. Bagel unlocks them and lets you chat with your physical data—just like you do with ChatGPT. For example: Is my IMU sensor overheating? Can’t wait to try it out? 👉 Check out the Quickstart. 🥯 Key Features Ask in plain language: No deep domain expertise needed. Transparent calculations: Deter
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Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 43 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: