Talk to your database in plain words — a report across several metrics

The assistant understands a plain-language question about SeaTable, finds the right tables itself, and puts together a clear report — you can ask about several metrics at once, with no raw queries.

  • Ask in words, no SQL
  • Several metrics in one question
  • Safe — no raw queries to the database
  • A clear combined report in return
Postgres ToolMCP Server

How it works

To connect SeaTable and Postgres Tool, you don't need a developer: a ready-made scenario links them in minutes.

  1. Starts when: When Executed by Another Workflow
  2. Check: Operation
  3. If yes: ReadTableRecord
  4. If no: CreateTableRecord
  5. If no: UpdateTableRecord
  6. Then: GetTableSchema
  7. Then: ListTables
  8. Then: CreateTableRecords
  9. Then: UpdateTableRecords
  10. Starts when: PostgreSQL MCP Server
  11. Starts when: When chat message received
  12. Then: AI Agent
  13. Then: Simple Memory
  14. Then: MCP Client
  15. Then: Anthropic Chat Model
  16. Then: Think
  17. Then: get table details
  18. Then: ReadTableRows

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