Generate SQL from Natural Language
The user receives a syntactically correct SQL query tailored to their specific database dialect, enabling them to extract data without manual coding.
How it works
Read-onlyData and analysis
The agent takes a plain English description of the desired data retrieval task. It then utilizes the AI2SQL MCP server to translate this natural language into a working SQL query. The agent should verify the generated query against the target database dialect (e.g., MySQL, PostgreSQL) to ensure compatibility before presenting it to the user.
Prompt
Paste this into an agent that has the servers below connected. Adjust the names and dates to your own.
Prompt for Generate SQL from Natural Language
Generate a SQL query to retrieve the total revenue per customer for the last 30 days from the sales table.MCP servers it needs
Source
The vendor page this playbook is drawn from, and the passage that supports it.
Describe what you need in plain English and get working SQL. AI2SQL generates queries for MySQL, PostgreSQL, SQL Server, Oracle, Snowflake and BigQuery.AI2SQL Blog - Insights & Tips & Guides on SQL and AI Tools