Slack messages
Feed type: Slack
Messages and threads
Files and attachments
Channel metadata
Users and conversation context
Setup fields
Channel *Message TypeInclude AttachmentsMaximum Messages
Ingest
What gets ingested
Graphlit reads the selected Slack surfaces, converts the source material into searchable content, and keeps enough source metadata for grounded answers, retrieval, and downstream agent workflows.
Slack
Deliver
Deliver through Slack
Delivery pages show the full path from context to action: Graphlit retrieves context from Slack, agents reason over that context, and approved outputs are delivered through MCP tools and connected accounts.
Post channel message
Delivery path: Graphlit MCP + Slack
Post approved channel updates
Reply in Slack threads
Attach generated content artifacts
Resolve friendly channel names
Prepare
What Graphlit prepares
The integration is not just a connector. Graphlit turns Slack into content that can be searched, cited, summarized, enriched with observations, and supplied to agents through the Graphlit API and MCP.
{
"content": "Thread: \"Q3 launch retro — what slipped\"",
"entities": [
"people",
"projects",
"decisions"
],
"observations": [
"ship dates",
"blockers",
"follow-ups"
],
"sources": [
"Slack #launch-planning"
]
}Use cases
What you can build with Slack
01
Build a Slack knowledge base from selected team channels and search every thread alongside your docs, issues, and tickets.
02
Ask grounded questions over product, support, and engineering conversations without scrolling through years of message history.
03
Extract people, organizations, projects, and decisions from Slack threads so an account or incident timeline writes itself.
04
Deliver generated briefings, daily digests, or agent follow-ups to an approved channel through a connected Slack account.
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FAQ
Common questions
Related
Commonly paired integrations
Start building
Start building with Slack and Graphlit
Create a free Graphlit project, connect Slack, and turn real operational context into retrieval, knowledge graphs, and MCP-native agent workflows.