by ingero-io · MCP Server · ★ 84
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eBPF agent and MCP server for GPU causal observability
| Stars | 84 |
| Forks | 11 |
| Language | C |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 53.4984483268/100 |
| Open Issues | 1 |
| Last Updated | 2026-05-29 |
| Created | 2026-03-09 |
| Platforms | k8s, mcp |
| Est. Tokens | ~2859k |
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ingero is eBPF agent and MCP server for GPU causal observability. It is categorized as a MCP Server with 84 GitHub stars.
ingero is primarily written in C. It covers topics such as causal-tracing, cuda, cuda-graphs.
You can find installation instructions and usage details in the ingero GitHub repository at github.com/ingero-io/ingero. The project has 84 stars and 11 forks, indicating an active community.
ingero is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to ingero on Agent Skills Hub include Containarium, homelab-monitor, aura. 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: