# Get Meeting — Read AI

> Retrieves complete details for a single Read AI meeting, including optional content expansions. Use List Meetings first to find the meeting ID. By default returns only meeting metadata (title, participants, platform, start/end time…

- Key: `read_ai-get-meeting`
- Type: Action (Read-only)
- Version: 0.0.2
- App: Read AI (`read_ai`) — https://pipedream.com/apps/read-ai.md
- This page (HTML): https://pipedream.com/apps/read-ai/actions/get-meeting
- Hints: read-only · open-world
- Source: https://github.com/PipedreamHQ/pipedream/blob/master/components/read_ai/actions/get-meeting/get-meeting.mjs

## Description

Retrieves complete details for a single Read AI meeting, including optional content expansions. Use **List Meetings** first to find the meeting ID. By default returns only meeting metadata (title, participants, platform, start/end time, duration). Enable specific expansions to include richer content — only request what you need to keep response size manageable: `include_summary` for the AI-generated overview; `include_action_items` for extracted tasks; `include_transcript` for the full word-for-word transcript with speaker attribution (can be large); `include_key_questions` for AI-flagged discussion questions; `include_topics` for identified subject areas; `include_metrics` for speaker engagement data (talk time, interruptions); `include_recording_download` for a presigned URL to download the meeting recording. [See the documentation](https://support.read.ai/hc/en-us/articles/49381161088659-API-Reference#h_01KJ7HW2S95B1D9Z7BS88M3JBJ)

## Props

| Prop | Type | Required | Description |
|---|---|---|---|
| `meetingId` | `string` | Yes | The ULID of the meeting. Use List Meetings to find a meeting ID. |
| `includeSummary` | `boolean` | No | Include the AI-generated meeting summary and chapter summaries. |
| `includeActionItems` | `boolean` | No | Include extracted action items with implied owners. |
| `includeTranscript` | `boolean` | No | Include the full word-for-word transcript with speaker attribution. Can be very large for long meetings. |
| `includeKeyQuestions` | `boolean` | No | Include key questions flagged by AI during the meeting. |
| `includeTopics` | `boolean` | No | Include identified discussion topics and subject areas. |
| `includeMetrics` | `boolean` | No | Include speaker engagement metrics: talk time, interruptions, engagement scores. |
| `includeRecordingDownload` | `boolean` | No | Include a presigned URL to download the meeting recording. |

## Run it

**MCP**

```ts
import { Client } from "@modelcontextprotocol/sdk/client/index.js"
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp.js"
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const accessToken = await pd.rawAccessToken

const transport = new StreamableHTTPClientTransport(
  new URL("https://remote.mcp.pipedream.net/v3"),
  {
    requestInit: {
      headers: {
        Authorization: `Bearer ${accessToken}`,
        "x-pd-project-id": process.env.PIPEDREAM_PROJECT_ID!,
        "x-pd-environment": "production",
        "x-pd-external-user-id": "{external_user_id}", // any stable ID for this user in your system
        "x-pd-app-slug": "read_ai",
      },
    },
  },
)

const mcp = new Client({ name: "my-agent", version: "1.0.0" })
await mcp.connect(transport)

const { tools } = await mcp.listTools()

// listTools() hands your model this tool's input schema, so it can
// fill the arguments itself:
const result = await mcp.callTool({
  name: "read_ai-get-meeting",
  arguments: {
    meetingId: "Meeting ID",
    includeSummary: true,
  },
})
```

**TypeScript**

```ts
import { PipedreamClient } from "@pipedream/sdk"

const pd = new PipedreamClient({
  projectId: process.env.PIPEDREAM_PROJECT_ID!,
  clientId: process.env.PIPEDREAM_CLIENT_ID!,
  clientSecret: process.env.PIPEDREAM_CLIENT_SECRET!,
  projectEnvironment: "production",
})

const result = await pd.actions.run({
  id: "read_ai-get-meeting",
  externalUserId: "{external_user_id}", // any stable ID for this user in your system
  configuredProps: {
    read_ai: { authProvisionId: "apn_xxxxxxx" },
    meetingId: "Meeting ID",
    includeSummary: true,
  },
})

console.log(result)
```

**cURL**

```bash
curl -X POST https://api.pipedream.com/v1/connect/{project_id}/actions/run \
  -H "Content-Type: application/json" \
  -H "X-PD-Environment: production" \
  -H "Authorization: Bearer {access_token}" \
  -d '{
    "external_user_id": "{external_user_id}",
    "id": "read_ai-get-meeting",
    "configured_props": {
      "read_ai": { "authProvisionId": "apn_xxxxxxx" },
      "meetingId": "Meeting ID",
      "includeSummary": true
    }
  }'
```

---

- App: https://pipedream.com/apps/read-ai.md · All apps: https://pipedream.com/apps