by Vexa-ai · MCP Server · ★ 3.0k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
git clone https://github.com/Vexa-ai/vexa.git && cd vexaTaken from the project's README on GitHub. Check the security audit before running it.
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 | 2,955 |
| Forks | 541 |
| Language | Python |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 64/100 |
| Open Issues | 800 |
| Last Updated | 2026-11-06 |
| Created | 2025-02-07 |
| Platforms | claude-code, codex, mcp, python |
| Est. Tokens | ~19k |
Vexa Open-source, self-hosted meeting bot & transcription API. A bot joins your Google Meet, Microsoft Teams, Zoom, and Jitsi calls and streams speaker-attributed transcripts in real time through an API you host — then feeds sandboxed agents that build a Markdown knowledge base your team owns. Self-hosted, Apache-2.0, air-gap-ready. vexa.ai runs Vexa 0.12 for meeting bots and transcription.
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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: