by Puliczek · MCP Server · ★ 158
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
npx wrangler vectorize create mcp-memory-vectorize --dimensions 1024 --metric cosineTaken from the project's README on GitHub.
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.
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 | 158 |
| Forks | 16 |
| Language | HTML |
| Category | MCP Server |
| Quality Score | 70/100 |
| Open Issues | 6 |
| Last Updated | 2025-04-24 |
| Created | 2025-04-23 |
| Platforms | claude-code, cli, mcp |
| Est. Tokens | ~217k |
🤝 Show your support - give a ⭐️ if you liked the content MCP Memory MCP Memory is a MCP Server that gives MCP Clients (Cursor, Claude, Windsurf and more) the ability to remember information about users (preferences, behaviors) across conversations. It uses vector search technology to find relevant memories based on meaning, not just keywords.
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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: