Ingest Linear into Graphlit

Connect Linear to Graphlit so product and engineering issues become searchable context, then let agents create or update Linear issues from retrieved evidence.

Ingest + deliver

1 ingest surface • 1 delivery surface

Linear OAuth

Connected account boundary

Graphlit API

createFeed + queryContents

MCP-native

Agent context and delivery flows

Ingest

What gets ingested

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

Linear issues

Feed type: Issue / Linear

Linear
Issues and projects
Teams and cycles
Workflow states and comments
Assignees and labels

Setup fields

TeamProjectIssue Limit

Deliver

Deliver through Linear

Delivery pages show the full path from context to action: Graphlit retrieves context from Linear, agents reason over that context, and approved outputs are delivered through MCP tools and connected accounts.

Create or update Linear issue

Delivery path: Graphlit MCP + Linear

create, replace, comment
Create issues from retrieved evidence
Update issue status, fields, and assignees
Add comments to existing issues
Resolve team and project names

Prepare

What Graphlit prepares

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

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

Use cases

What you can build with Linear

01

Build a Linear knowledge base from issues and projects and teams and cycles and search it alongside the rest of your Graphlit content.

02

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

03

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

04

Let approved agents create issues from retrieved evidence after retrieving the source context that justifies the delivery.

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SDK:
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FAQ

Common questions

Start building

Start building with Linear and Graphlit

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

Create free account