Ingest Attio into Graphlit

Connect Attio to Graphlit so CRM objects, tasks, and meeting notes become searchable customer context for RAG, deal review, and agent workflows.

Ingest

1 ingest surface

Attio OAuth

Connected account boundary

Graphlit API

createFeed + queryContents

MCP-native

Agent context flows

Ingest

What gets ingested

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

Attio CRM objects

Feed type: Crm / AttioObjects

Attio
People, companies, and deals
Tasks and follow-ups
Meeting notes and recordings
Custom object types and attributes

Setup fields

Object TypesAfter DateItem Limit

Prepare

What Graphlit prepares

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

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

Use cases

What you can build with Attio

01

Build a Attio knowledge base from people, companies, and deals and tasks and follow-ups and search it alongside the rest of your Graphlit content.

02

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

03

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

04

Combine Attio with Gmail, Slack, and Fireflies to build cross-tool RAG, research, and operational intelligence workflows.

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FAQ

Common questions

Start building

Start building with Attio and Graphlit

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

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