Generate, validate, transpile, and inspect SQL across multiple dialects.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SQLMind" yet — see the docs or source repo.
Generate a PostgreSQL query for this request: count newly registered users in each city over the past 30 days and sort by user count descending. The users table has id, city, and created_at columns.
A runnable PostgreSQL query with correct grouping, time filtering, and sorting logic.
Convert this MySQL query to BigQuery syntax and explain any function differences: SELECT DATE_FORMAT(created_at, '%Y-%m') AS month, COUNT(*) FROM orders GROUP BY month;
An equivalent BigQuery query plus a brief note on syntax differences such as date formatting functions.
Check whether this SQL has syntax or column reference issues, and explain how to fix it using the database schema: SELECT customer_name, SUM(amount) FROM payments WHERE payment_date >= '2024-01-01' GROUP BY customer_id;
Identification of grouping or column reference issues, along with a corrected SQL query based on the schema.
Query any SQL database in natural language with safe auto-generated SQL.
Query SQL databases in natural language with auto-generated, self-correcting SQL.
Query SQL Server databases with natural language through Claude.
Connect to SQL Server to query data, inspect schema, and analyze performance.
Connect multiple SQL databases for querying, analysis, and browser-based management.
Use natural-language prompts to inspect SQL Server schemas and perform CRUD operations via MCP tools.