"Answer" matching MCP servers:

Enables AI assistants to answer food safety and shelf-life questions using USDA-grade data, with tools for shelf life, safety checks, storage tips, and waste cost calculations.

Condition-aware ingredient & product safety intelligence for AI agents. Every answer carries a claim-level evidence attestation, verdict, an evidence tier, and a citation – curated against authoritative sources (LactMed, InfantRisk, PubMed, DSLD, DermNet, EU CosIng) by Health AI. Hosted MCP server – no install, no key. Endpoint: https://mcp.healthai.com (Streamable HTTP, JSON-RPC 2

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.

An MCP server that transforms Garmin data into compact, verdict-first coaching reports for LLMs, computing metrics like CTL/ATL/TSB and ACWR to answer training readiness questions.

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.

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 Claude to answer natural language questions about your Apple Health data by analyzing local CSV exports, supporting metrics like steps, heart rate, sleep, and more.

MCP server that exposes personal device data from sources like Oura into a unified SQLite store, allowing Claude to answer questions across metrics (sleep, activity, etc.) with a set of read-only tools.

Enables an Alexa+ assistant to answer home-care questions while keeping protected values off the spoken channel, delivering sensitive details privately to the asker's own device via an out-of-band inbox.

Enables Claude, Codex, and GitHub Copilot to answer natural-language questions about WHOOP recovery, sleep, HRV, strain, and workouts using read-only access to personal health history, baselines, trends, and sleep debt. Also rebuilds HYROX and triathlon sessions, assesses race readiness, and serves a local performance dashboard.

A read-only MCP server with its own OAuth login that lets ChatGPT fetch a user's Garmin training data through an intervals.icu account. It exposes activities with laps and streams, zones, fitness and fatigue, sleep, HRV, resting heart rate and the training calendar, so ChatGPT can answer questions about training and recovery directly.

Enables a voice assistant to answer household safety questions about whether products, food, or medicines have been recalled or are in short supply, drawing on public US and EU government data and proactively checking a saved household watchlist. Answers return a short spoken sentence plus structured detail including the source URL and date for every item.

Enables AI assistants to answer questions about pregnancy, infancy, and the first year of life using live content exclusively from Norwegian health authorities: Helsedirektoratet, FHI, and Helsenorge. It provides source URLs, rejects non-approved domains, and supports searching national guidelines when an API key is configured.

Enables read-only access to WHOOP recovery, sleep, HRV, strain, workout, and race-performance data so assistants like Claude, Codex, and GitHub Copilot can answer personal health questions, compare trends against personal baselines, and audit HYROX or triathlon training with local, evidence-backed dashboards. Includes aggregate mode, local-only race logging, and verification tools for recomputing claims.

A read-only WHOOP MCP server that lets AI assistants answer questions about your recovery, sleep, HRV, strain, and workouts against personal baselines, plus HYROX and triathlon readiness tracking with a local dashboard. It runs locally, exposes only read-only tools, and supports Claude Desktop, Claude Code, Codex, and GitHub Copilot.

Enables Alexa+ to answer questions about whether a person living alone is okay by comparing today's home sensor events against their own normal routine, logging check-in notes, and drafting ready-to-send messages to family. It works from event data alone, without cameras.

A read-only WHOOP MCP server that lets Claude Desktop, Claude Code, Codex and GitHub Copilot answer questions about your own recovery, sleep, HRV, strain and workouts, comparing days against your personal baselines without exporting data yourself. It also adds HYROX and triathlon race tracking, readiness bandwidth and a local chart-first dashboard.

Enables AI agents to turn flight details and usual sleep times into a science-based, day-by-day jet lag plan with exactly timed light, sleep, caffeine, nap and optional melatonin guidance, plus ready-to-schedule reminders and downloadable calendar files. Its read-only, stateless tools also answer "why" questions and can return only what is still ahead.

Enables a household assistant to answer personalized air-quality and pollen questions, plan outdoor activities, issue threshold-based alerts, and log symptoms using live Open-Meteo data. It exposes these capabilities as tools with spoken responses and structured content for MCP clients.

Provides read-only access to WHOOP recovery, sleep, HRV, strain, and workout data so assistants like Claude, Codex, and GitHub Copilot can answer questions about personal health trends, baselines, and period comparisons. It runs locally with no hosted relay and never modifies anything in the user's WHOOP account.

Enables AI chatbots to look up standardized Korean food composition data, retrieve nutrient values, and check or grade nutrition answers against the National Standard Food Composition DB 10.4 with source attribution.

Enables ChatGPT to answer questions about sound healing, self-healing, energy work, and Om Sacred Space's offerings through a minimal MCP server.

Enables AI agents to answer questions about Japanese long-term care supply and demand, such as whether a municipality has enough special nursing homes, using public data.