Ingest Zoom into Graphlit

Connect Zoom to Graphlit so meeting recordings and transcripts become searchable context for RAG, summaries, follow-ups, and agent workflows.

Ingest

1 ingest surface

zoom OAuth

Connected account boundary

Graphlit API

createFeed + queryContents

MCP-native

Agent context flows

Ingest

What gets ingested

Graphlit reads the selected Zoom surfaces, converts the source material into searchable content, and keeps enough source metadata for grounded answers, retrieval, and downstream agent workflows.

Zoom meetings

Feed type: Meeting / Zoom

Zoom
Meeting recordings
Transcripts and speaker turns
Meeting metadata and participants
Continuous import of new meetings

Setup fields

After DateMaximum Meetings

Prepare

What Graphlit prepares

The integration is not just a connector. Graphlit turns Zoom into content that can be searched, cited, summarized, enriched with observations, and supplied to agents through the Graphlit API and MCP.

{
  "source": "Zoom",
  "content": "Zoom meetings",
  "extracted": [
    "entities",
    "observations",
    "facts",
    "summaries"
  ],
  "citations": [
    "Zoom source references"
  ],
  "agentContext": {
    "searchable": true,
    "groundedAnswers": true,
    "deliveryEnabled": false
  }
}

Use cases

What you can build with Zoom

01

Build a Zoom knowledge base from meeting recordings and transcripts and speaker turns and search it alongside the rest of your Graphlit content.

02

Ask grounded questions over Zoom context without forcing users to leave the tools where the work originally happened.

03

Extract people, organizations, projects, events, facts, and decisions from Zoom content so agents can reason over durable context.

04

Combine Zoom with Google Calendar, Microsoft Calendar, and Slack to build cross-tool RAG, research, and operational intelligence workflows.

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SDK:
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FAQ

Common questions

Start building

Start building with Zoom and Graphlit

Create a free Graphlit project, connect Zoom, and turn real operational context into retrieval, knowledge graphs, and MCP-native agent workflows.

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