A local-first MCP server that enables AI agents to read user-authorized Google Health API v4 data from Fitbit, Pixel Watch, and partners via OAuth, with tokens never leaving the machine.
An MCP server that enables LLMs to securely query synthetic clinical data through validated, scoped tools (patient summaries, conditions, medications, lab trends, encounters) while maintaining audit logs and access controls.
A local-first, model-agnostic MCP server that stores personal health data in a SQLite file and provides analysis-ready views for any AI client to log, retrieve, and reason over health records.
Provides an OAuth-protected, scoped, and audited MCP server that lets AI assistants safely query business data through a fixed set of tools without direct database access.
Enables AI applications to query and retrieve healthcare data (patients, conditions, observations, medications) from a public FHIR R4 server via MCP tools.