Integration

Otter.ai integration

Otter.ai API for real-time meeting transcription, automated note-taking, and conversation intelligence. Transcribe meetings across Zoom, Google Meet, and Microsoft Teams with speaker identification. Generate AI summaries, extract action items, and search across all conversations. Ideal for teams who want to capture every word in meetings without manual note-taking.

Connect Otter.ai How integrations work

Ask it in chat

Say what should happen.
The workflow builds itself.

When this happens, do that in Otter.ai.Built from the 4 Otter.ai tools below, on the connection you add once.

Common Otter.ai use cases

auditing channel access
reviewing meeting content
browsing transcript history
building channel navigation
building membership UI
extracting action items
organizing conversations
building meeting archives
workspace structure
syncing team rosters

What you can do with Otter.ai

Each of these is one operation on one endpoint, available both as a workflow step and as a tool an AI agent can call on its own. Nothing bundles several operations into one action, so what a run did stays readable afterwards.

Most endpoints run on the free plan. A few, mainly the ones that publish on your behalf, need a paid plan.

Channel, 2 operations

list_channel_membersList channel membersGETLists the members of a specific channel.
list_channelsList channelsGETLists channels in the workspace.

Conversation, 2 operations

get_conversationGet conversationGETRetrieves a conversation by id, optionally embedding action_items, insights, outlines, and the full transcript via the include parameter.
list_conversationsList conversationsGETLists conversations (transcripts) for the workspace in reverse-chronological order with cursor-based pagination.

Use Otter.ai from Claude Code, Cursor or Codex

Connect Otter.ai in LiveContext, create an API key in Settings, then add the LiveContext MCP server to your client. Its Otter.ai operations become tools the client can call, next to every other integration you connected.

Claude Code

claude mcp add --transport http livecontext https://livecontext.ai/mcp --header "X-API-Key: YOUR_API_KEY"

Codex (~/.codex/config.toml)

[mcp_servers.livecontext]
url = "https://livecontext.ai/mcp"

[mcp_servers.livecontext.http_headers]
"X-API-Key" = "YOUR_API_KEY"

Cursor, Claude Desktop and other JSON configs

{
  "mcpServers": {
    "livecontext": {
      "type": "http",
      "url": "https://livecontext.ai/mcp",
      "headers": {
        "X-API-Key": "YOUR_API_KEY"
      }
    }
  }
}

Set up the MCP server step by step

How to connect Otter.ai

Create your workspace
Sign up free. Nothing to install.
Connect Otter.ai once
Add your Otter.ai connection in Settings. Every tool from this integration reuses it, and secrets are encrypted at rest and visible only to you.
Describe the job in chat
The workflow builds itself in front of you and picks the endpoints it needs. Drag the steps yourself on the canvas whenever you would rather be explicit.

Otter.ai integration FAQ

What can you do with the Otter.ai integration?

LiveContext exposes 4 operations on Otter.ai, covering channel and conversation. Common uses include auditing channel access, reviewing meeting content and browsing transcript history.