Open-source agentic schema layer. Define metrics once in YAML, query governed data from any warehouse (Snowflake, BigQuery, Databricks, PostgreSQL, DuckDB) via MCP.
Provides a governed analytics layer over synthetic product data, exposing MCP tools for investigating product metrics, slicing by dimensions, and comparing periods while preventing unrestricted SQL access.
A read-only Model Context Protocol server over Google BigQuery that lets AI clients answer plain-language data questions by discovering schemas, inspecting table freshness and code assets, and running validated SELECT queries under the user's own Google credentials.
Enables AI assistants to query trusted BigQuery analytics using curated Business Intelligence tools, providing secure, accurate business metrics and KPIs through natural language.