LinkedIn posts
Feed type: LinkedIn
Setup fields
Ingest LinkedIn posts and profiles into Graphlit so professional context becomes searchable, then deliver approved updates to LinkedIn from a connected account.
source: linkedin
target: graphlit
Ingest + deliver
1 ingest surface • 1 delivery surface
LinkedIn OAuth
Connected account boundary
Graphlit API
createFeed + queryContents
MCP-native
Agent context and delivery flows
Ingest
Graphlit reads the selected LinkedIn surfaces, converts the source material into searchable content, and keeps enough source metadata for grounded answers, retrieval, and downstream agent workflows.
Feed type: LinkedIn
Setup fields
Deliver
Delivery pages show the full path from context to action: Graphlit retrieves context from LinkedIn, agents reason over that context, and approved outputs are delivered through MCP tools and connected accounts.
Delivery path: Graphlit MCP + LinkedIn
Prepare
The integration is not just a connector. Graphlit turns LinkedIn into content that can be searched, cited, summarized, enriched with observations, and supplied to agents through the Graphlit API and MCP.
{
"source": "LinkedIn",
"content": "LinkedIn posts",
"extracted": [
"entities",
"observations",
"facts",
"summaries"
],
"citations": [
"LinkedIn source references"
],
"agentContext": {
"searchable": true,
"groundedAnswers": true,
"deliveryEnabled": true
}
}Use cases
01
Build a LinkedIn knowledge base from posts and articles and profile and company updates and search it alongside the rest of your Graphlit content.
02
Ask grounded questions over LinkedIn context without forcing users to leave the tools where the work originally happened.
03
Extract people, organizations, projects, events, facts, and decisions from LinkedIn content so agents can reason over durable context.
04
Let approved agents publish approved posts to LinkedIn after retrieving the source context that justifies the delivery.
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FAQ
Related
Start building
Create a free Graphlit project, connect LinkedIn, and turn real operational context into retrieval, knowledge graphs, and MCP-native agent workflows.