"Rime" matching MCP servers:

Enables LLMs and autonomous agents to calculate pulse arrival time, pulse transit time, pulse wave velocity, and arterial vascular compliance from dual-sensor timestamps through deterministic JSON-RPC tools. Supports continuous cuffless cardiovascular monitoring using a zero-dependency Python implementation.

Enables deterministic, non-invasive calculation of pre-ejection period and left ventricular ejection time, with rate-corrected indices and inotropic performance classification exposed as JSON-RPC tools for LLM and agent workflows.

Enables deterministic calculation of PAT, PTT, pulse wave velocity, and arterial vascular compliance from dual-sensor timestamps for continuous cuffless cardiovascular monitoring via MCP JSON-RPC tools.

Enables AI assistants to plan and track McDonald's visits by locating stores, estimating commute calories, recommending nutrition-targeted menu combinations, monitoring orders, running spaced-repetition vocabulary practice during waits, and recording progress in a local dashboard.

Enables assessment of lower-extremity chronic venous insufficiency, valvular competence, and calf muscle pump performance from digital photoplethysmography data, including reflux grading and tourniquet localization.

Enables users to model scotopic photoreceptor kinetics, detect rod-cone break points, calculate threshold-crossing times, and receive retinoid-cycle and Bruch membrane health guidance through an MCP stdio interface.