A governed, audited Model Context Protocol server that provides AI agents with secure, read-only access to a clinical knowledge base through least-privilege tools, policy validation, and append-only audit logging.
A unified Model Context Protocol server for data engineering and analytics that lets LLM clients query, profile, transform, and visualize data using DuckDB and PySpark, while keeping raw data out of the model's context through read-only, bounded, and audited operations.
Model Context Protocol (MCP) server that gives AI assistants a safe, correct data-analyst capability over business metrics - without raw SQL improvisation.
A Model Context Protocol server that provides access to Observe API functionality, enabling LLMs to execute OPAL queries, manage datasets/monitors, and leverage vector search for documentation and troubleshooting runbooks.
A Model Context Protocol server that provides read-only access to Datasette instances, enabling AI assistants to explore, query, and analyze data from Datasette databases through a standardized interface.