Vexa
Send meeting bots and access speaker-attributed transcripts from Google Meet, Teams, and Zoom.
Install Vexa
Pick your client, then add it in one click or paste the config.
https://api.cloud.vexa.ai/bots
Remote servers are added in the app, not the config file: Customize → Connectors → Add custom connector, then paste this URL.
Overview
Use cases
- Send a bot to a scheduled Google Meet
- Retrieve speaker-attributed transcripts after a call
- Monitor transcript updates during a live meeting
- Ask a self-hosted workspace agent about prior meetings
Key features
- Meeting bots for Google Meet, Teams, and Zoom
- Speaker-attributed live transcription
- Post-meeting transcript retrieval
- Self-hosted Markdown knowledge workspace
- Streaming agent responses over Server-Sent Events
- Docker, process, and Kubernetes runtime backends
Security & health
What it can reach and how reliably it runs — from our own checks, not the maintainer’s claims.
ActiveLast checked Today
Recent health check succeeded.
13/13 checks healthy over the last 35d
Adoption & maintenance
Factual signals from GitHub, npm, and our automated checks — not a rating.
GitHub stars2.9kStargazers on the source repository.
Last commitTodayMost recent push to the default branch.
Directory activity2 viewsConfig copies, upvotes, and views on AllMCPs.
How Vexa works
Reviews
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Frequently Asked Questions about Vexa
Vexa is an MCP server that connects AI agents to Google Meet, Microsoft Teams, and Zoom meeting capture and transcription workflows. Its main tools send meeting bots, retrieve speaker-attributed transcripts, and submit prompts to the workspace agent. Jitsi also supports joining and capture, but live validation remains pending.
Run Vexa with the self-hosting instructions by cloning the repository and executing `make all`. You need `make` and Docker Engine 26 or newer. The command pulls the release images, starts the stack, and prints the local API URL and API key.
Yes, Vexa streams speaker-attributed transcript updates while a bot is in the meeting. Transcript text is initially treated as draft content and then confirmed. A transcription service or self-hosted GPU transcription unit must be configured unless capture-only mode is enabled.
It does identify Claude Code and Codex as agents that can read and write the self-hosted Markdown workspace.
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