A governed MCP server that enforces a trust layer between AI agents and databases, requiring sign-off on joins and metrics and producing auditable receipts for every query.
A demo MCP server for research project management that enables document ingestion, information extraction, project tracking, and report generation through MCP tools.
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.
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.