An MCP server that bridges AI assistants with data warehouses through Cube.js to enable governed, natural language semantic analytics queries. It provides tools for metadata discovery and secure query execution while enforcing governance policies like PII blocking and access limits.
Serves an automatically inferred semantic layer from your warehouse over MCP, enabling AI agents to query with correct business context, joins, and filters.
An MCP server that bridges AI assistants with SQL databases, enabling natural language querying across multiple database types with built-in optimization and security.
An MCP (Model Context Protocol) server that exposes natural language to SQL functionality, allowing any MCP-compatible client to convert plain English questions into SQL queries for database interaction using AI.
Enables natural language querying of Microsoft Fabric Data Warehouses with intelligent SQL generation, metadata exploration, and business-friendly result summarization. Features two-layer architecture with MCP-compliant server and agentic AI reasoning for production-ready enterprise data access.