"PlayStation 3" matching MCP servers:

MCP server for hybrid medical consultation integrating Western and Traditional Chinese Medicine, enabling symptom analysis, diagnosis, and treatment suggestions through two specialized models.

为安宁疗护陪护志愿者提供一站式工具，粘贴群聊对话即可自动识别场景，生成标准化安抚话术和后续陪护行动建议。

Local MCP server to access your personal health data from E-Nabız (Turkish Ministry of Health) via an LLM. Read-only, secure, and respects privacy.

Integrates Diabetes:M data with Claude Desktop to access glucose readings, insulin data, food diary, and health metrics through natural language conversations.

Enables AI agents like Claude Desktop, Cursor, and VS Code to connect directly to COLMI R02/R03 and compatible smart rings over local Bluetooth LE, exposing tools for ring scanning, battery and firmware status, activity and sleep/recovery insights, real-time heart rate and SpO2 vitals, 3-axis motion sampling, clock sync, and physical LED blinking. Runs fully locally with no vendor cloud, accounts, or subscriptions.

Provides read-only access to Nolio training data including planned workouts, completed sessions, metrics, records, and notes.

It's a safety middleware that can detect and intercept self-harm and criminal intent at 3 stages. It allows developers of chat-based platforms to configure webhook notifications and store encrypted information for prior mitigation of any such cases.

Enables building and uploading structured workouts to Garmin Connect using YAML or natural language, supporting running, cycling, and strength with zones and circuits.

A TypeScript server that acts as a bridge to the Strava API, enabling LLMs to access users' activities, routes, segments, and athlete data through natural language interaction.

Enables Claude Code to securely read your Garmin Connect health, training, and workout data through a local stdio server, with an optional allow-listed path for creating and scheduling workouts.

Integrates healthcare data from multiple sources (HL7 v2, FHIR, DICOM, device telemetry) and provides clinicians with secure, role-based access to patient context, care unit summaries, device events, diagnostic exams, and other clinical data through specialized MCP tools.

Provides comprehensive Korean Beauty information through real-time web search, AI-powered skin analysis from photos, and curated knowledge of 58+ K-Beauty brands, ingredients, and personalized skincare routines.

Enables LLM clients to access authorized Xiaomi Mi Fitness health data, including sleep, heart rate, and steps, through an MCP server deployed on Cloudflare Workers.

MCP server that exposes health metrics from the Sapphire Wellness App to AI assistants, enabling natural language queries for activity, blood pressure, glucose, heart rate, sleep, and SpO2 data.

Connect Pelaris to any MCP-compatible AI assistant for personalised fitness coaching. Plan training programs, log workouts, track benchmarks, manage goals, and get data-driven coaching insights. Supports science-based methodologies including 5/3/1, Pfitzinger, polarised training, and more. OAuth 2.0 authentication with Streamable HTTP transport. Documentation: https://pelaris.io/integrations Web

This MCP server enables medicine management, stock/refill estimation, doctor search and availability checks, and appointment management for senior care scenarios.

Enables AI assistants to access Sapphire Wellness user data, including health alerts, personalized recommendations, and partner service subscriptions.

Exposes Garmin Connect health and activity data (steps, sleep, heart rate, etc.) via MCP tools, with built-in login and MFA support.

This MCP server provides read-only access to your local Garmin Connect history, enabling Claude to query workouts, sleep, training load, fitness scores, records, and gear via natural language. It uses a sync script to pull data into a local SQLite database, ensuring privacy and offline operation.

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.