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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.
Query PostgreSQL databases in natural language with intelligent SQL generation.
Lets AI assistants run SQL and inspect PostgreSQL schemas via MCP tools.
Enable AI assistants to run PostgreSQL SQL queries and inspect schema metadata.
Let AI query local PostgreSQL data and inspect table schemas.
Securely query and manage Azure PostgreSQL databases with AI.