"IBM MCP Context Forge - Model Context Protocol Framework" matching MCP servers:

Turn your Android phone into an MCP server. AI assistants connect on demand, query your health data, notifications, app usage, and take actions on your device — all end-to-end encrypted, no cloud sync.

Enables AI clients to securely access, query, and mutate normalized user-controlled health data (e.g., from Apple Health or Supabase) through a bounded set of MCP tools, with optional OAuth and sandboxed deployment.

Enables users to model neuro-autonomic state shifts, project alpha/theta entrainment windows, and estimate striatal dopamine replenishment from session and respiratory-rate inputs.

Enables AI assistants to create, validate, and track personalized, location-aware exercise and eating routines using local profiles and open data, with privacy and safety guardrails.

Enables AI agents to search foods, get nutritional breakdowns, and estimate exercise calories using the Nutritionix API through natural language input.

Connects AI assistants to health data via the Biological Sovereignty Protocol, with cryptographically verified user consent enforced on-chain.

A framework that integrates Brain-Computer Interface technology with the Model Context Protocol to enable real-time neural signal processing and AI-powered interactions for healthcare, accessibility, and research applications.

A Model Context Protocol (MCP) server for Airthings air quality monitoring devices.

A Model Context Protocol server that allows working with DICOM medical images through a simple note storage system.

Model Context Protocol (MCP) server that allows AI assistants to access and analyze your OpenStride training data.

A Model Context Protocol server that enables Claude to search and access detailed nutritional information from the USDA's FoodData Central database.

A Model Context Protocol (MCP) server that provides AI assistants with structured, semantic access to your Oura Ring health data.

Generates multi-color anatomical muscle diagrams and provides exercise search/resolution via the Model Context Protocol.

This Model Context Protocol (MCP) server connects to Garmin Connect and exposes your fitness and health data to Claude and other MCP-compatible clients.

Enables AI assistants to access and analyze health metrics from Runalyze, including HRV, sleep, resting heart rate, and activities, through the Model Context Protocol.

A Model Context Protocol (MCP) server that gives Claude access to your WHOOP biometric data — recovery, sleep, strain, and workouts.

Gives AI assistants live access to US prescription drug prices by pharmacy with observation dates, the free discount card, and vetted US equivalents of foreign-brand medicines, all through the Model Context Protocol.

Provides Claude with real-time access to local health data including sleep, recovery, strain, and workouts from WHOOP and Apple Health, enabling informed context-aware interactions.

Solar vitamin D: whether the sun where you are can make vitamin D right now, how many minutes your Fitzpatrick skin type needs for a target dose, which months of the year synthesis is possible at your latitude, and how much a sun session produced. Computed from solar geometry, a clear-sky UV model with ozone and altitude, and live Open-Meteo UV data.

Enables AI assistants to access and analyze Polar device health data, including exercises, heart rate, sleep, and recovery metrics, by preprocessing raw sensor data into compact summaries to avoid context window overload.

Archives Garmin Connect health data locally (steps, HR, sleep, body battery) as JSON, no cloud, and also pulls context data (weather, pollen, air quality). Built-in MCP server (with SQLite cache) exposes the archive for querying via LLM tool calls.

A Model Context Protocol server that enables standardized interaction with Azure Health Data Services FHIR servers, allowing healthcare data operations through MCP tools.

A Model Context Protocol server that enables seamless interaction between LLM-based agents and Apple Health data, allowing users to query, analyze, and manage health records through natural language commands.

A Model Context Protocol server for TrainingPeaks with an analytics focus — enabling real-time querying of training data, performance trends, CTL/ATL/TSB analysis, and training load optimization through Claude Desktop.

Provides local safety regulation, weather, and dining hygiene context tools for the ATLAS multi-agent safety evaluation system.

Provides read-only access to reaction time test catalog, measurement rules, FAQ, and official links for AI clients like Claude Desktop. Cannot run tests; it only exposes documentation context.

Enables read-only querying of your own Garmin Connect data — sleep, HRV, resting HR, Body Battery, activities, training volume, body composition, and nutrition — through Garmin's official Personal API using a revocable key. Returns compact, unit-labelled JSON shaped around questions so whole date ranges fit in context.

Enables MCP clients to query AimHarder for authenticated account context, discover accessible gyms, and select a gym for queries.

Enables AI assistants like Claude to read a single user's own Strava account through its API: profile and totals, activities with laps, splits, zones and per-second streams, plus segments, routes, gear and clubs. It is strictly read-only, using the user's own Strava API application and OAuth tokens stored locally, and returns model-friendly, context-sized data.

Exposes real-time health data from the Ultrahuman Ring to AI agents via the Model Context Protocol, providing optimized summaries with trend analysis and actionable insights.