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Query SQL databases in natural language with auto-generated, self-correcting SQL.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "text2sql-mcp" yet — see the docs or source repo.
Connect to my sales database, inspect the schema first, then find monthly revenue and year-over-year change for the past 12 months. Return the SQL and an interpretation of the results.
Executable SQL, monthly sales trend results, and a brief analysis of the changes.
Explore the order-related tables first, then identify orders from the last 30 days with unusually high values and high refund rates. If the SQL fails, automatically fix it and continue.
Corrected SQL, a list of anomalous orders, and an explanation of the filtering logic.
Inspect the customer and subscription schemas, then tell me the current number of active subscribers, the churn rate over the last 90 days, and the user distribution by plan.
Provide the relevant SQL, key metric results, and a plain-language summary of the findings.
Query MSSQL databases safely in natural language with schema discovery.
Query databases in natural language and auto-generate and execute SQL.
Query and manage SQLite databases using natural language through an MCP tool.
Interact with MySQL databases using natural language for queries and management.
Query SQL databases safely in natural language with validated read-only access.
Use natural language to query, update, and manage MSSQL databases.