"Python Object-Oriented Programming Resources" matching MCP servers:

Enables AI assistants to access Oura Ring health data including sleep, readiness, activity, heart rate, and workouts through MCP tools with OAuth2 authentication.

Provides read-only access to Oura Ring health and activity data, including sleep, readiness, activity, stress, SpO2, resilience, workouts, sessions, and heart rate via the Oura API v2.

Read-only MCP server that exposes Garmin Connect health data from a local SQLite database to AI assistants, enabling queries for recent days, sleep, weekly trends, and a guarded SQL query surface.

A Python-based Model Context Protocol server that provides AI assistants with access to Oura Ring health and fitness data across 15+ endpoints. It enables querying metrics like sleep, activity, readiness, and cardiovascular health through simple authentication and date-range filtering.

Enables AI assistants to interact with MyFitnessPal data including food diary, exercises, body measurements, nutrition goals, and water intake through natural language.

Ask your Oura Ring about sleep, readiness, activity, stress and heart rate in ChatGPT or Claude, in any language. Read-only, 10 task-oriented tools; runs in a sandbox demo mode with no credentials.

Privacy-first MCP server for querying personal health and finance data with AI. Built with Python, FastMCP, and SQLite. Local-first and open source.

Enables AI assistants to read and analyze Google Fit exported data (activities, daily metrics, workouts, sleep) from Google Takeout, providing tools for queries, resources, and coaching prompts.

An MCP server for authoring and managing structured workouts (SuuntoPlus™ Guides) on Suunto watches, with swappable transports (file, Cloud API, or private mobile API) and a coach-oriented domain model that lowers to the display-oriented guide format.

Enables MCP clients to search FHIR R4 patients and observations, access patient data as resources, and generate clinical summaries through prompts, using a public HAPI FHIR sandbox.

Trainzilla MCP connects Claude to your Trainzilla coach account, turning your client roster, programming, and habit tracking into something you can manage conversationally. Built for fitness coaches running their practice on Trainzilla, it lets Claude pull up client profiles and metrics, build and review workout and diet plans, create and assign habits, run quick calculations (TDEE, macros, 1RM),

An MCP server for rehabilitation monitoring that provides tools for patient risk scoring, outcome analysis, report generation, alerts, and research search, along with prompts and CSV data resources.

Connects personal API integrations like Hevy fitness and exposes them as MCP tools, resources, and prompts.

Provides mental health resources for Kenya including therapist finder, crisis lines, rights under Kenya Mental Health Act, workplace wellness, and self-help resources.

Enables interaction with FHIR servers to access, search, and manage FHIR resources, including appointment scheduling and cancellation.

Self-hosted fitness tracking MCP server that gives AI assistants access to your nutrition, training, weight, sleep, and accomplishment data via 77 tools and 5 resources. Enables natural-language logging and querying of personal health metrics through Claude or ChatGPT.

Python MCP server for the Hevy fitness app. Gives Claude full access to your Hevy data. Log workouts, manage routines, track body measurements, browse exercises, and more. Covers all 25 endpoints of the official Hevy API.

Enables natural language control of an elderly care system on RK3588, integrating face recognition, object recognition, voice interaction, health monitoring, and IoT services through MCP tools.

MCP server that connects Claude to the Hevy fitness app, enabling AI-driven personalized strength coaching by reading lifting history and programming workouts.

A TypeScript-based MCP server that connects to FHIR servers, allowing access to healthcare data via fhir:// URIs and providing search capabilities for FHIR resources.