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# Get conversation

> One conversation with summary, owner, who it is shared with and processing status. Input schema, a tools/call example and an example result.

Source: https://cotlet.dev/docs/mcp/otter/get_conversation

Docs sections: [Get started](https://cotlet.dev/docs.md) · [REST API](https://cotlet.dev/docs/api.md) · [MCP](https://cotlet.dev/docs/mcp.md) · [SDKs & CLI](https://cotlet.dev/docs/sdks.md) · [Integrations](https://cotlet.dev/docs/integrations.md)

One conversation with summary, owner, who it is shared with and processing status.

Otter.ai MCP tools: https://cotlet.dev/docs/mcp/otter.md

MCP tool: `otter_read → get_conversation`

Access: read.

Returns one conversation: title, owner, date, the generated summary, the people and Channels it is shared with and their permission, and whether the summary, action items and outline are finished. Use the status to wait for processing after an import or a new call. The transcript is a separate call, get_transcript.

## Parameters

| Name | Type | Required | Description |
|---|---|---|---|
| `conversation_id` | string | yes | Conversation ID from list_conversations or search_transcripts. |

## tools/call

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "otter_read",
    "arguments": {
      "operation": "get_conversation",
      "arguments": {
        "conversation_id": "conversation_8c41d2"
      }
    }
  }
}
```

## Example response

```json
{
  "content": [
    {
      "type": "text",
      "text": "{ ... same JSON as structuredContent ... }"
    }
  ],
  "structuredContent": {
    "conversation_id": "cv_7f3a91",
    "title": "Pricing review with Acme",
    "owner": "you@example.com",
    "created_at": "2026-10-13T14:00:00Z",
    "url": "https://otter.ai/u/example-conversation",
    "summary": "The team compared per-seat and flat-rate pricing and agreed to send a revised quote.",
    "shared_with": [
      {
        "email": "sam@example.com",
        "permission": "viewer"
      }
    ],
    "shared_channels": [],
    "processing": {
      "summary": "finished",
      "action_items": "finished",
      "outline": "finished"
    }
  },
  "isError": false
}
```

Previous: [Search transcripts](https://cotlet.dev/docs/mcp/otter/search_transcripts.md)
Next: [Get transcript](https://cotlet.dev/docs/mcp/otter/get_transcript.md)

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## For AI agents: sign your user up

Is your user asking you to sign them up for Cotlet? You can do it for them, no account or key needed.

1. Read the fields and their allowed values: GET https://cotlet.dev/api/v1/access-requests
2. Ask the user for each value: email, apps, what you will do with them. If they leave the password to you, generate a strong one and show it to them.
3. Show the user what you will send, then POST it as JSON to https://cotlet.dev/api/v1/access-requests.

One call creates the account and sends the access request; we email the user when access is granted.