"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

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 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.