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AI for Database

Ask questions about a connected database or spreadsheet in everyday language, then turn answers into dashboards, scheduled reports and alerts, with read-only access by default.

Data analysisWorkflow automation
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What it does

AI for Database connects to databases such as PostgreSQL, MySQL, MongoDB, SQL Server, SQLite and Google Sheets. You type a question, and it writes and runs the SQL, then returns the answer along with the rows and the query it used. An answer can be pinned to a dashboard, scheduled as a report, or watched so that a workflow sends a Slack message, email or webhook call when the data changes. Connections start read-only, and queries and actions are logged. It can also be used from AI assistants through an MCP connector (Claude, ChatGPT, Grok and Muse are named), and a public REST API with an OpenAPI description lets agents inspect schemas, run read-only SQL and draft workflows. A self-hosted deployment is offered for a one-time setup fee plus an annual licence.

Capabilities

  • Plain-language questions answered from live data, with the SQL shown
  • Dashboards and scheduled reports built from answers
  • Workflows that alert by Slack, email or webhook when data changes
  • Read-only connections by default, with audit logging
  • MCP connector for AI assistants and a public REST API
  • Self-hosted deployment option

When to use it

  • Your team has no data analyst but needs answers from a company database
  • You want recurring reports or alerts driven by changes in your data
  • You want to query a database from inside Claude, ChatGPT or another assistant