Exposes Iceberg-backed ontology objects, links, and actions as typed MCP tools for LLM agents, enabling governed data access and operations without raw SQL.
Provides MCP-compatible tools for data analysis, including file reading, Python/SQL execution, and hypothesis testing. Enables autonomous data analysis agents to interact with a sandboxed environment.
Exposes Azure AI Foundry agents, workflows, and AI Search vector-database capabilities as MCP tools, enabling natural language interaction with agents, semantic search, and index management.