Incident diagnosis before the on-call engineer arrives, with context from your systems

The scenario receives the alert, gathers context from your infrastructure and past incidents, and posts a ready diagnosis into your team chat.

  • The first round of checks happens before a human is involved
  • Similar past incidents are found and taken into account
  • Repeat alerts are collapsed into a single event
  • The write-up appears right in your team chat thread
Qdrant Vector StoreEmbeddings Google GeminiMCP Client ToolWebhook
Connect Postgres PGVector Store and goScriptera

How it works

To get Postgres PGVector Store notifications in Slack, you don't need a developer: a ready-made scenario watches events and sends messages for you.

  1. Starts when: Receive alerts
  2. Then: SetVars
  3. Then: PreProcessAlerts
  4. Then: DeduplicateAlerts
  5. Then: GetAlertRule
  6. Then: ExtractRuleQuery
  7. Then: AI Agent
  8. Then: GetAlertMessages
  9. Then: FindAlert
  10. Then: Post in thread
  11. Then: OpenAI Chat Model
  12. Then: Qdrant Vector Store
  13. Then: Embeddings Google Gemini
  14. Then: K8S mcp
  15. Then: Grafana mcp
  16. Then: Digitalocean MCP
  17. Then: Github MCP

You can launch this Postgres PGVector Store + Slack integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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