by Artexis10 · MCP Server · ★ 9
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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. 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 | 9 |
| Forks | 2 |
| Language | Python |
| Category | MCP Server |
| License | AGPL-3.0 |
| Quality Score | 66/100 |
| Open Issues | 82 |
| Last Updated | 2026-10-22 |
| Created | 2026-05-18 |
| Platforms | claude-code, cli, mcp, python |
| Est. Tokens | ~20k |
Self-hosted MCP server that makes your Obsidian/markdown vault searchable — text, PDFs, Office docs, images, audio — from any MCP client. Hybrid retrieval over a typed, governed corpus, sub-second at 50k notes; your files stay plain markdown.
Looking for a exomem alternative? If you're comparing exomem with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across
Codebase Context gives AI agents understanding of your codebase through semantic code search, team conventions
Turn feature specs into merged PRs with a self-supervising swarm of coding agents — parallel execution, isolat
UK legal API for AI agents and researchers.
Local-first AI memory archive. Import ChatGPT, Claude, and Grok exports, generate semantic embeddings, and sea
Node.js/TypeScript MCP server for Atlassian Confluence. Provides tools enabling AI systems (LLMs) to list/get
Explore other popular mcp server tools:
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: