"A way to find people on LinkedIn using their names" matching MCP servers:

Cold plunge, sauna and contrast-therapy venues across 23 US metros (548 venues). Every published water temperature and price is read from the venue's own pages and returned with its source URL, capture date and verbatim quote; every record carries the date it was last checked. Absent fields mean "not published", never zero. Five read-only tools: search_venues, get_venue, list_cities, get_city_stat

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

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

Enables AI agents to rank US healthcare organizations for clinical trial site feasibility, predicting patient accrual for a Graves' disease protocol using claims and registry data.

Tracks meals for three people with cost calculation, deployable on Render and connectable to ChatGPT.

MyChart MCP Server

Enables reserving, canceling, and listing fitness classes on AimHarder through natural language, with support for multiple boxes and waitlists.

An MCP server that allows users to query and analyze their Apple Health data using SQL and natural language, utilizing DuckDB for fast and efficient health data analysis.

This MCP is capable of analyzing medical documents and prescriptions and giving patient all the medical info it needs and answering their questions

An MCP server that provides access to detailed exercise-to-muscle mapping data for over 320 exercises and 65 muscles. It enables users to analyze workout coverage, find exercise alternatives based on muscle overlap, and search for specific exercise activation data.

An unofficial MCP server for Tend dental that aims to let users access their own Tend account data (e.g., appointments) via natural language. Currently it is scaffold-only with stub API calls and not yet functional.

MCP server for JournalOwl that enables AI-powered journaling integration, allowing users to create, search, and browse journal entries, access weekly reviews, and get personalized suggestions directly from their AI assistant.

Enables Claude Desktop to access and analyze Garmin wearable health data including sleep, HRV, Body Battery, and activity metrics. Users can query their health trends, track recovery, and generate interactive HTML dashboards using natural language.

Trainzilla MCP connects Claude to your Trainzilla coach account, turning your client roster, programming, and habit tracking into something you can manage conversationally. Built for fitness coaches running their practice on Trainzilla, it lets Claude pull up client profiles and metrics, build and review workout and diet plans, create and assign habits, run quick calculations (TDEE, macros, 1RM),

Enables AI assistants to search for real-time prescription drug prices, find local pharmacies, and retrieve discount coupons through the GoodRx service. It uses Playwright browser automation to provide drug comparisons and checkout details like BIN and PCN codes.

MCP server for the Withings Health API with per-user OAuth2, enabling users to securely access their own health data (measures, activity, sleep, workouts, heart rate, devices, and goals) and optionally add measurements.

Enables AI assistants to search for recipes, get nutritional information, find ingredients, and more through the Spoonacular Food API using natural language.

Turns any AI assistant into a physiological AI running coach by abstracting fitness APIs and exposing 70+ structured analytical MCP tools based on endurance models.

Enables users to interact with their Strava data through natural language to analyze workouts, track fitness progress, and explore routes. It supports retrieving detailed activity stats, heart rate data, and segment insights directly within AI assistants.

Enables AI agents to generate budget-disciplined, allergy-safe weekly meal plans, shopping lists, and meal swaps using a fully local deterministic engine.