"Information about Test-Driven Development (TDD)" matching MCP servers:

An MCP server for the MBTI personality test, supporting AI assistants to guide users through the personality test and provide result analysis.

Enables calculation of isolated L-, M-, and S-cone contrast thresholds and mapping them to calibrated 0–100 diagnostic scores for assessing photoreceptor integrity and selective color-vision defects.

Enables deterministic calculation of isolated L-, M-, and S-cone contrast thresholds and conversion into calibrated 0–100 CCT score indices for assessing photoreceptor integrity and selective color-vision defects.

Provides deterministic JSON-RPC tools for calculating angular VOR gain from head and eye velocity, quantifying corrective saccades, and assessing gaze stability for LLM and autonomous agent workflows.

MyChart MCP Server

Enables AI assistants to search Italian private healthcare services, clinics, and doctors, compare real-time availability, bookable times, and prices, and retrieve service preparation and pricing information, while leaving booking on cup24.it.

MCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.

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.

Enables users to answer California drinking water questions about public water systems, SAFER risk/violation status, source-water chemistry, school lead sampling, and latest tap/treated-water results by ZIP code or water system ID, using curated Databricks Gold views over State Water Board open data.

Enables AI assistants to read your Strava training data and answer plain-language questions about activities, splits, and totals across sports like running, skiing, and hiking.

Query Apple Health export data with an LLM via a semantic layer that avoids common data traps, enabling accurate natural-language queries about health metrics. Optionally imports CPAP therapy data for correlation.

Connects WHOOP fitness tracker data to AI assistants like Claude and ChatGPT, enabling natural language queries about recovery, sleep, strain, and trends.

Bridges Suunto watch data to AI assistants like Claude, enabling natural language queries about workouts, sleep, and recovery.

MCP server for the Oura Ring API v2, enabling natural language queries about sleep, readiness, activity, heart rate, and more.

Provides Claude Code with access to peer-reviewed medical information from MedlinePlus and StatPearls, and acts as an unlicensed diagnostic medical expert for educational purposes.

Provides access to Danish food and nutrition data from Open Food Facts and DTU Frida, enabling keyword search, barcode lookup, and detailed food information with per-100g macros and source attribution.

Enables AI assistants to read your SisRUN training plan with your own credentials and answer questions about prescribed workouts, like weekly coach plans, in a structured format.

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 AI assistants to access and modify a user's real GymTimer workout and nutrition data stored in private iCloud, allowing natural-language queries about training history and the creation of workout templates and meal plans.

Connects MCP clients to Garmin Connect data, enabling queries about activities, sleep, heart rate, body battery, and training status.

Enables natural-language questions about the University of Michigan Ann Arbor dining halls' live menus, dish traits, allergens, nutrition panels, and opening hours pulled from dining.umich.edu. Supports searching and filtering dishes by name, allergen exclusions, required traits, calorie, sodium and carbon-footprint limits, plus checking which halls are serving right now.

Enables Claude to read your WHOOP health data including recovery, sleep, strain, and workouts through the official WHOOP API, so you can ask natural language questions about your fitness metrics.

Enables AI assistants to answer questions about and log a user's FitTrack fitness data after validating a short-lived personal access token, with tools like recent_workouts and today_nutrition.

Enables users to interact with the CUF health portal to retrieve patient information, appointments, clinical documents, invoices, and prescriptions through natural language.

Connects Sensor Bio wearable data to AI assistants via the Model Context Protocol, enabling queries about sleep, heart rate, activity, and other biometrics.

Enables AI assistants to query read-only Fitbit and Pixel Watch health data through the Google Health API, including sleep, activity, heart rate, workouts, and profile information.

Bridges your Nightscout CGM data with AI assistants via the Model Context Protocol, enabling natural language queries about glucose readings, treatments, statistics, and pattern analysis.

Enables querying and verifying a neutral registry of femtech information sources, with provenance, jurisdiction, and compensation disclosures exposed through MCP tools.

Enables users to search and retrieve detailed pharmaceutical drug information from the Korea Pharmaceutical Information Center (KPIC) API. Supports drug name searches and detailed lookups by drug code including ingredients, usage, precautions, and storage information.

Enables AI agents to interact with the Strava API to retrieve athlete statistics and activity data. It provides tools for listing recent activities and fetching detailed information for specific workout sessions.