AtScale MCP

**Overview**
The AtScale MCP Server exposes AtScale’s governed semantic layer to Databricks through the Model Context Protocol (MCP). It provides consistent metrics, business logic, and secure data access for AI agents, BI tools, and analytics workloads.

**Use cases**

- AI agent access to governed metrics for accurate, consistent responses.
- Unified BI and AI semantics so dashboards and LLMs use the same business definitions.
- Performance optimization through intelligent query virtualization.

**Product details**
AtScale delivers a universal semantic layer on Databricks, unifying AI, BI, and analytics use cases. It serves governed metrics and business logic through MCP, SQL, DAX, MDX, and data apps, all of which query the same trusted semantic model. AtScale integrates deeply with Databricks, DBSQL, and Unity Catalog, delivering seamless governance and performance. Trusted by leading enterprises, it’s a proven partner for scalable, unified analytics and AI on the Lakehouse.

**Additional Insights**
AtScale’s semantic layer is designed for enterprise-scale AI and analytics journeys, providing the consistency and governance required when BI and generative AI consume the same business definitions.

See AtScale’s blog on Enterprise AI and MCP for deeper context. https://www.atscale.com/blog/enterprise-ai-mcp-semantic-layer/