MindsDB provides an “AI Tables” abstraction that treats ML models as virtual database tables queryable via SQL—bringing AI capabilities directly into database workflows. Community Edition is free (MIT + Elastic license) for self-hosted deployment. Pro Cloud at $35/user/month includes 250 AI questions/month, team collaboration, and managed infrastructure. The platform connects to 200+ data sources including PostgreSQL, MySQL, MongoDB, Snowflake, BigQuery, and Salesforce. Core capability: CREATE MODEL statements train models, then SELECT queries make predictions as if querying a regular table. Supports time-series forecasting, classification, regression, and natural language processing using underlying ML engines (Lightwood, Hugging Face, OpenAI). Model Context Protocol (MCP) support enables AI assistant integration with Claude and other tools. SOC2 certified for enterprise security requirements. Enterprise tier adds on-premise deployment, custom SLAs, and dedicated support. Page should cover: AI Tables concept explanation, supported data sources matrix, model training workflow, MCP integration guide, pricing tier comparison, comparison with native database ML (BigQuery ML, Snowflake Cortex), and use cases for ML-augmented applications.