Otter.ai MCP Server
Connect Otter.ai to your AI agents with the Otter.ai MCP server.
Updated
What is Otter.ai MCP?
The Otter.ai MCP server is a Model Context Protocol server that connects Otter.ai to AI agents and assistants as a set of tools. With it connected, an agent can work with Otter.ai (ai meeting transcription — live notes, summaries, and speaker-labeled transcripts) directly — instead of you copying data in and out by hand.
It is a remote MCP server that uses OAuth, so you point your client at the server URL, authorize once, and the Otter.ai tools become available to the model.
Connect the Otter.ai MCP server
Connect Otter.ai MCP to Claude Code
- 1
Add the server
Use `claude mcp add` with the Otter.ai MCP server URL (or its `npx` command), following the official docs.
- 2
Authorize
Complete authentication (OAuth) so Claude Code can call the server.
- 3
Verify
Ask Claude to use a Otter.ai tool to confirm the connection is live.
Connect Otter.ai MCP to Cursor
- 1
Open MCP settings
In Cursor, go to Settings → MCP → Add new server.
- 2
Add Otter.ai
Provide the Otter.ai MCP server URL or command and complete authentication.
- 3
Test
Reference Otter.ai from chat to confirm Cursor can reach the tools.
Sample use cases
An agent retrieves meeting transcripts after each call and extracts action items into a task management tool
Action items are captured and assigned within minutes of the meeting ending.
A scheduled agent pulls all transcripts from the past week and generates a searchable meeting digest for the team
Anyone can find what was discussed without sitting through recordings.
An agent monitors new transcripts for mentions of specific keywords (competitor names, product issues) and alerts the relevant team
Critical mentions are surfaced instantly instead of being buried in meeting notes.
A sales agent extracts key objections and next steps from call transcripts and updates the CRM record automatically
CRM stays current with conversation context without manual note-taking.
An agent compares meeting transcripts against previous decisions to flag contradictions or scope changes
Decision drift is caught early before it causes downstream confusion.
A compliance agent reviews call transcripts for required disclosures and flags calls where disclosures were missed
Regulatory compliance is monitored automatically across all recorded calls.
An agent summarizes daily standup transcripts into a bullet-point update and posts it to the team channel
Async team members get standup context without watching the recording.
Using Otter.ai MCP with Gamut
On Gamut, the Otter.ai MCP server becomes a tool your agents use inside an automated, event-driven workflow — triggered by an event or a schedule, acting through Otter.ai and your other connected MCP servers, with the connection managed by Gamut rather than a local config file.
Frequently asked questions
What meeting data can the Otter.ai MCP server access?
The server provides access to meeting transcripts, summaries, action items, and speaker identification data. Agents can search transcripts, extract key moments, and retrieve metadata about recorded meetings.
Can agents search across multiple Otter.ai transcripts?
Yes. Agents can query transcripts by keyword, date range, or participant, making it possible to build cross-meeting search and analysis workflows.
Does the Otter.ai MCP server support real-time transcription access?
The MCP server primarily accesses completed transcripts. For real-time use cases, agents typically poll for new transcripts at short intervals or trigger on meeting-end events.
Is the Otter.ai MCP server useful for sales teams?
Yes. Sales teams can use agents to extract call summaries, track competitor mentions, log objections, and update CRM records automatically from every recorded conversation.