Linear issues
Feed type: Issue / Linear
Setup fields
Connect Linear to Graphlit so product and engineering issues become searchable context, then let agents create or update Linear issues from retrieved evidence.
source: linear
target: graphlit
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
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.
Feed type: Issue / Linear
Setup fields
Deliver
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.
Delivery path: Graphlit MCP + Linear
Prepare
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
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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FAQ
Related
Start building
Create a free Graphlit project, connect Linear, and turn real operational context into retrieval, knowledge graphs, and MCP-native agent workflows.