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Query PostgreSQL with natural language, generate validated SQL, and optionally execute it.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Insight AI-SQL MCP Server" yet — see the docs or source repo.
Based on the database schema, generate PostgreSQL SQL to analyze sales and order counts by region for the last 90 days, validate the syntax first, then provide an executable version.
Returns validated SQL that summarizes sales and order counts by region over the last 90 days, with key filter conditions explained.
Using business field definitions retrieved from Azure AI Search, generate a query to find the top 10 customer segments with the highest repeat purchase rate in the past year, and include the calculation logic and SQL.
Returns SQL and calculation notes grounded in field semantics, producing ranked repeat purchase rates by customer segment.
Convert this natural language request into PostgreSQL SQL: count new users this month and their 7-day retention rate. Perform safety and syntax validation first, then execute if valid.
First returns validation results and SQL, then provides execution results or execution guidance after confirming safety and syntax correctness.
Query PostgreSQL, inspect schemas, and run SQL safely with natural language.
Let AI query local PostgreSQL data and inspect table schemas.
Query and explore PostgreSQL databases with SQL, tables, and schema inspection.
Query PostgreSQL databases safely in natural language with read-only access.
Let AI query, inspect, and modify a local PostgreSQL database with SQL.
Turn natural language into PostgreSQL queries with readable, context-aware answers.