Otter.ai

Connect an agent via an official MCP server G

Agent access

Delegate tasks to a built-in AI assistant inside the product G

Agentic features

Drive the product through a documented public API G

Agent access

Plug MCP servers into this product so it can use their tools G

Agent access

Get AI-generated insights and suggestions from my data inside the product G

Agentic features

Issue scoped/least-privilege API credentials for an agent G

Agent access

Operate the product with natural-language commands G

Agentic features

Set up automations that run autonomously in the background G

Agentic features

Subscribe to events via webhooks G

Agent access

Build against official SDKs G

Agent access

Run the product headlessly / in CI for automation G

Agent access

Download a machine-readable API spec (OpenAPI or equivalent) G

Api quality

Explore an interactive API reference with runnable examples G

Api quality

Rely on versioned APIs with a documented deprecation policy G

Api quality

Point an agent at llms.txt or agent-oriented docs G

Agent access

Use an official CLI G

Agent access

Test against a sandbox environment without touching production data G

Api quality

Action items with owners are automatically extracted from the conversation and collected somewhere I can track them C

Summaries

Search across every past meeting — transcripts, summaries, and notes — and jump to the exact moment something was said C

Memory

An official MCP server lets Claude or any MCP client query my meetings — search, transcripts, action items — with OAuth, no glue code C

Agent ops

Capture and transcribe meetings without a visible bot joining the call — audio is captured from my device so external participants see nothing extra C

Capture

Define rules that trigger actions automatically on events G

I get a structured summary right after each meeting — key points, decisions, and next steps — good enough to share without editing C

Summaries

Meeting notes and summaries sync automatically onto the right contact and deal records in my CRM (HubSpot, Salesforce, Attio) C

Integrations

Prevent my data from being used to train AI models G

My scripts can pull transcripts, summaries, and action items from every meeting through a documented API with self-serve keys C

Agent ops

The transcript attributes words to the right named speakers (diarization plus real name matching), not just "Speaker 1/2" C

Transcription

Export all of my data in open formats and leave G

I connect Google or Outlook calendar once and control per-meeting-type rules for which meetings get captured automatically C

Calendar

The product ships real consent features — participant notifications, in-meeting disclosure, or admin-enforced transparency — not just a policy PDF C

Privacy

The vendor documents how transcription actually works and its quality (models, accuracy claims, known limits) rather than just saying "AI-powered" C

Transcription

Self-host the core product G

Ask questions in natural language across my whole meeting history ("what did we decide about pricing?") and get answers with sources G

Memory

Notes flow into the tools where work happens — Slack channels, Notion pages, and thousands of apps via Zapier C

Integrations

An agent can automatically file each meeting's action items into my project tracker (Linear, Jira, Asana) using the product's API, webhooks, or native automations C

Agent ops

The notetaker reliably captures Zoom, Google Meet, and Microsoft Teams meetings, with recording where I want it C

Capture

Do everything through the API that I can do in the UI G

Perform bulk operations across many items at once G

Record and transcribe in-person conversations from a mobile app, and those notes land in the same searchable workspace C

Capture

Schedule recurring jobs or workflows G

Shape the notes with custom templates or saved prompts per meeting type (discovery call, 1:1, standup) instead of one generic format C

Summaries

Sharing is controlled — private-by-default notes, granular link/folder/workspace permissions, and admin visibility into what's shared C

Sharing

Start free and see exactly what each paid tier costs and adds — no "talk to sales" wall for basic use G

Pricing

The vendor documents whether meeting data trains AI models and gives my org an enforceable opt-out, alongside SOC 2 / HIPAA posture C

Privacy

Run meetings in languages other than English — transcription and summaries support many languages and handle language switching C

Transcription

Control data retention and deletion G

Opt out of telemetry and usage tracking G

Set retention policies — auto-delete transcripts and recordings on a schedule — and permanently erase data on demand C

Privacy

Choose where my data is stored (region/residency) G

Read the product's source under an open license G

The tool drafts my follow-up email from the meeting so I can review and send it in a couple of clicks C

Summaries

I walk into each meeting prepped — the tool surfaces past meetings with the same people and a brief of open threads before the call C

Calendar

Cut a soundbite or highlight clip from a call and share that moment instead of the whole recording C

Sharing

Version, review, and roll back my automations G