by KryptosAI · MCP Server · ★ 142
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx @kryptosai/mcp-observatory test npx -y my-mcp-server
npx @kryptosai/mcp-observatory setup-ci --all --command "npx -y my-mcp-server" --sarifTaken from the project's README on GitHub. Check the security audit before running it.
Flagged: reads agent memory. 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 | 142 |
| Forks | 15 |
| Language | TypeScript |
| Category | MCP Server |
| License | MIT |
| Quality Score | 68/100 |
| Open Issues | 19 |
| Last Updated | 2026-10-21 |
| Created | 2026-03-19 |
| Platforms | cli, mcp, node |
| Est. Tokens | ~19k |
MCP Observatory The GitHub-native CI, SARIF, and security gate for MCP servers before agents depend on them. Agents should not depend on tools nobody tests. MCP Observatory turns a local MCP check into release-gate evidence maintainers already understand: GitHub Actions, security findings, schema drift detection, PR reports, score badges, agent-accessible diagnostics, and GitHub Code Scanning...
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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: