zoom-mcp
Provides AI agents with structured access to Zoom recorded meetings, enabling search, summarization, and action item extraction.
README
zoom-mcp
An intelligent Model Context Protocol server for Zoom — giving AI agents rich, structured access to recorded meetings.
What it does
Five tools that work together as a system:
| Tool | What it returns |
|---|---|
search_meetings |
Ranked list of recordings by fuzzy topic/name match |
get_meeting_brief |
Decisions + action items + key quotes (AI summary + transcript, combined) |
get_full_transcript |
Clean verbatim transcript with speaker labels |
extract_action_items |
Aggregated action items across a date range or single meeting |
search_meeting_content |
Full-text search across multiple meetings' transcripts |
Typical agent flow:
search_meetings("Q1 planning") → get_meeting_brief(meeting_id) → done
or:
extract_action_items(from_date="2026-03-01") → "here are all follow-ups from the last month"
search_meeting_content("rebrand timeline") → "mentioned in 3 meetings, here are the quotes"
Setup
1. Create a Zoom OAuth App
- Go to marketplace.zoom.us/develop/create
- Choose General App (User-managed OAuth)
- Add scopes:
recording:read,meeting:read - Set redirect URI:
http://localhost:8090/callback(for local) or your production URL - Copy Client ID and Client Secret
Why not Server-to-Server OAuth? Zoom restricts cloud recording access to User-managed OAuth apps only. Server-to-Server apps cannot access the
recording:readscope.
2. Configure environment
cp .env.example .env
# Edit .env with your ZOOM_CLIENT_ID and ZOOM_CLIENT_SECRET
3. Install
# Requires Python 3.11+ and uv
uv pip install -e .
4. Authenticate (one-time)
zoom-mcp-auth
This opens your browser, completes the OAuth flow, and saves an encrypted token to .tokens/. You only need to do this once (tokens auto-refresh).
5. Run the server
zoom-mcp
# Server starts on http://localhost:8080
Connect with MCP Inspector to verify tools:
npx @modelcontextprotocol/inspector http://localhost:8080/mcp
Deployment on GCP Cloud Run
# Build and push
gcloud builds submit --tag gcr.io/YOUR_PROJECT/zoom-mcp
# Deploy
gcloud run deploy zoom-mcp \
--image gcr.io/YOUR_PROJECT/zoom-mcp \
--platform managed \
--region us-central1 \
--set-env-vars ZOOM_CLIENT_ID=...,ZOOM_CLIENT_SECRET=...,ZOOM_REDIRECT_URI=https://YOUR_SERVICE_URL/auth/callback \
--set-secrets TOKEN_ENCRYPTION_KEY=zoom-mcp-key:latest \
--allow-unauthenticated
Mount a persistent volume (Cloud Storage FUSE or Filestore) for .tokens/ so the token survives container restarts, or store the token in Secret Manager and load it at startup.
Add to Claude / Cursor / Lovable
Claude Desktop (claude_desktop_config.json):
{
"mcpServers": {
"zoom": {
"url": "http://localhost:8080/mcp"
}
}
}
Claude Code:
claude mcp add zoom --url http://localhost:8080/mcp
Notes on Zoom AI summaries
- Requires Zoom AI Companion to be enabled on your account (admin setting)
- Summaries are available from
GET /meetings/{id}/meeting_summary - When unavailable,
get_meeting_briefandextract_action_itemsfall back to transcript-based extraction automatically
Notes on transcripts
- Auto-transcription must be enabled in your Zoom account (Settings → Recording → Cloud recording)
- Transcripts take up to 24 hours to process after a meeting ends
- Only the meeting host can access recordings via the API (user-level OAuth)
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