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 deterministic MCP server that governs read-only queries across multiple data sources, returning answers with full provenance (every row cited) or a typed refusal, ensuring LLM answers are traceable and contract-enforced.
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 governed MCP server with OAuth 2.1 + PKCE, declarative tool scoping, row-level data filters, per-identity rate limits, and a tamper-evident audit trail.
A governed MCP server for integrating AI agents with customer data, featuring role-based access control, field redaction, and human-in-the-loop approval for secure support operations.