Enables LLMs to interact with clinical patient records using tools for document ingestion, structured conversion, patient profiling, record listing, search, and secure Q&A over patient documentation.
Enables AI assistants to retrieve wellness metrics such as activity, blood pressure, glucose, heart rate, sleep, and SpO2 from a PostgreSQL-backed health database via MCP tools.
Enables AI assistants to query health metrics such as activity, blood pressure, glucose, heart rate, sleep, and SpO2 from a PostgreSQL-backed wellness database, returning structured data and summaries through MCP tools.
Provides MCP tools to read and update a local-first personal OS for goals, tasks, habits, food, workouts, and check-ins. Enables assistants to manage daily life data and interact with an evidence-grounded AI coach.
Provides access to Ultrahuman health and fitness data through standardized MCP tools, enabling AI assistants to retrieve metrics like sleep, movement, heart rate, and glucose.