vexa — security grade SAFE, quality 64/100

Security audit verdict: SAFE · quality 64/100

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 Vexa-ai · MCP Server · ★ 2.8k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

🔒 Is vexa safe to install? View the security audit →

About vexa

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. Sandboxed knowledge agents are self-hosted only — self-host Vexa to run the full stack. Why Vexa Every meeting-AI tool you can buy sends your conversations to their cloud and rents you access back. Vexa inverts that: run the stack yourself, point it at your own models, own what your meetings become. No one else has all three: Vexa is in the meeting. A real bot joins Meet, Teams, Zoom, and Jitsi and streams speaker-attributed transcripts live. That bot fleet is the genuinely hard part — every "chat with your docs" tool starts after a transcript exists.

apiclaude-codecodexgoogle-meetmcpmcp-servermeeting-assistantmeeting-minutesmeeting-notesmodel-context-protocol

Quick Facts

Stars2,795
Forks474
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score64.2240717429125/100
Open Issues580
Last Updated2026-09-17
Created2025-02-07
Platformsbrowser, claude-code, codex, mcp, python
Est. Tokens~19k

Compatible Skills

These tools work well together with vexa for enhanced workflows:

  • agentcall — semantic(0.42)+complementary+rare_topics+same_lang+shared_platform (68%)
  • joinly — semantic(0.44)+rare_topics+same_lang+similar_pop+shared_platform (64%)
  • yapsnap — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • project-raven — semantic(0.40)+complementary+rare_topics+similar_pop+shared_platform (58%)

vexa alternative? Top 6 similar tools

Looking for a vexa alternative? If you're comparing vexa 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.

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  • memorix by AVIDS2 · ⭐ 797

    Open-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Wi

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    Local-first, agent-native control plane for ComfyUI — MCP server + sidebar agent that generates images, video

  • mcp-use by mcp-use · ⭐ 10.7k

    The fullstack MCP framework to develop MCP Apps for ChatGPT / Claude & MCP Servers for AI Agents.

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    TalkToFigma: MCP integration between AI Agent (Cursor, Claude Code, Codex) and Figma, allowing Agentic AI to c

  • Unity-MCP by IvanMurzak · ⭐ 4.3k

    AI Skills, MCP Tools, and CLI for Unity Engine. Full AI develop and test loop. Use cli for quick setup. Effici

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Frequently Asked Questions

What is vexa?

vexa is Open-source meeting transcription API for Google Meet, Microsoft Teams & Zoom. Auto-join bots, real-time WebSocket transcripts, MCP server for AI agents. Self-host or use hosted SaaS.. It is categorized as a MCP Server with 2.8k GitHub stars.

What programming language is vexa written in?

vexa is primarily written in Python. It covers topics such as api, claude-code, codex.

How do I install or use vexa?

You can find installation instructions and usage details in the vexa GitHub repository at github.com/Vexa-ai/vexa. The project has 2.8k stars and 474 forks, indicating an active community.

What license does vexa use?

vexa is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

What are the best alternatives to vexa?

The top alternatives to vexa on Agent Skills Hub include amical, memorix, comfyui-mcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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