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 kuvasz-uptime · MCP Server · ★ 633
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is kuvasz safe to install? View the security audit →
Kuvasz [ˈkuvɒs] is an open-source, self-hosted uptime & SSL monitoring service with status pages, designed to help you keep track of your websites and services. It provides a modern, user-friendly interface, a powerful REST API + MCP server and supports multiple notification channels like email, Discord, Slack, Telegram, PagerDuty and custom webhooks. 📖 Documentation ##
| Stars | 633 |
| Forks | 37 |
| Language | Kotlin |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 56.1665260945776/100 |
| Open Issues | 5 |
| Last Updated | 2026-09-18 |
| Created | 2020-07-17 |
| Platforms | mcp |
| Est. Tokens | ~17k |
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kuvasz is Kuvasz (pronounce as [ˈkuvɒs]) is an open-source uptime and SSL monitoring service, with multiple notification channels, status pages, IAC support via YAML, Prometheus integration, a complete REST API. It is categorized as a MCP Server with 633 GitHub stars.
kuvasz is primarily written in Kotlin. It covers topics such as cloud-native, containerized, homelab.
You can find installation instructions and usage details in the kuvasz GitHub repository at github.com/kuvasz-uptime/kuvasz. The project has 633 stars and 37 forks, indicating an active community.
kuvasz is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to kuvasz on Agent Skills Hub include homebutler, kite, metamcp. 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: