Query geographic data from the Valencian Community's GIS layer using SQL-like filters, field selection, and pagination controls to retrieve land activity information.
Analyze SQL query performance by retrieving execution plans with runtime statistics from Amazon Redshift databases to identify optimization opportunities.
A server that enables querying the dbt Semantic Layer through natural language conversations with Claude Desktop and other AI assistants, allowing users to discover metrics, create queries, analyze data, and visualize results.
Enables efficient AI agent operations through sandboxed Python code execution with progressive tool discovery, PII tokenization, and skills persistence, achieving up to 98.7% token reduction by processing data in a sandbox rather than in context.