MCP-powered meeting intel for AI revenue workflows
Avoma's AI meeting notetaker MCP server connects Claude and ChatGPT directly to your transcripts, notes, scorecards, and deal outcomes, so your AI workflows runs on meeting intelligence.
Your AI is smart. It just can't see your meetings.
Meeting knowledge stays trapped
You've become the context pipeline
AI can read your meetings but can't do anything with them
Messy meeting data breaks reporting downstream
What Avoma MCP lets your AI assistant do
Search and surface meeting data instantly
Claude or ChatGPT can fetch any meeting's transcript, notes, summary, or action items by account, rep, date, or topic, in seconds.
- Pull full transcripts by meeting or account
- Retrieve AI-generated notes and action items
- Search meetings by participant, topic, or outcome
Turn meeting patterns into coaching intel
Your AI reads scorecard evaluations across the team, finds who's struggling with specific call moments, and delivers a grounded coaching brief. No list of recordings to manually review.
- Access call scoring results across reps
- Identify coaching gaps tied to real calls
- Track team usage and meeting engagement metrics
Update meeting records without human intervention
Avoma MCP lets AI agents classify meetings, log outcomes, and set privacy, keeping your data clean and your pipeline reporting accurate.
- Set meeting purpose (Discovery, Demo, QBR, Renewal)
- Log deal outcomes (Closed Won, Lost, Renewal, No Show)
- Enforce privacy settings as calls complete
Connect meeting intel to tools in your workflow
Pair Avoma MCP with your agent and any downstream tool. The agent reads the call, applies your stage rules, and writes the right update, wherever it needs to go.
- Renewal risk raised, account health updated in your CS platform
- Discovery call scored, coaching rubric results pushed to your enablement tool
- QBR completed, forecast record updated in your revenue tool
62%
Up to 90%
5 distinct tools
Connect Avoma to your AI in minutes
On Claude Desktop, run the script installer, add your API key, and you're done in 2 minutes. On Claude web and mobile or ChatGPT, an admin configures it once via OAuth and it's live for the whole team. Usage guides for Claude and ChatGPT walk team members through the rest.
Once connected, your AI can retrieve transcripts, pull notes, search past meetings by account or topic, and surface scorecard data from a single question. The AI meeting notetaker MCP server sits inside your Avoma revenue intelligence stack, so context flows across recording, coaching, and deal tracking.
With write access enabled, agents classify meetings, log outcomes, set privacy, and push interpreted intel to downstream tools as calls complete. Define the rules once in your agent config. Every call that follows gets handled the same way, with no rep input required.
More of what Avoma connects
Teams already building with Avoma MCP
Frequently asked questions
What's stopping you from turning every conversation into actionable insights?
