An MCP server that gives AI assistants the ability to connect to, query, profile, and monitor data sources — turning any LLM into an interactive data engineering copilot.
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.
A Model Context Protocol server enabling AI assistants to query and explore data warehouses via Trino, with optional semantic context from metadata catalogs.
An MCP server that enables AI assistants to query databases, execute SQL, and manage Metabase resources like dashboards, cards, and collections through natural language.
A standalone MCP server that brings complete data science capabilities to AI assistants, enabling them to load data, train models, and track experiments through natural language.
Production-ready MCP server enabling AI assistants to interact with SAP Datasphere for real tenant data discovery, metadata exploration, analytics operations, ETL data extraction, database user management, data lineage analysis, and column-level data profiling.