"Reading Microsoft OneDrive files" matching MCP servers:

An MCP server that converts structured cycling workout specs into MyWhoosh .zwo and Garmin Connect workout files, with tools for validation, description, and rendering. It also includes skills for uploading workouts to both platforms.

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.

Enables browsing the Ptitchef recipe category tree and reading its recipes without an API key or account.

Enables real-time Apple Watch heart rate monitoring via MCP tools, reading data from macOS HealthKit.

Open-source MCP server for MetricBridge (formerly Health Export AI). 16 tools and 22 prompts let any MCP agent query 190 Apple Health metrics from files on your own machine. The server is read-only, has zero dependencies and makes zero network calls.

MCP server for reading and querying Garmin Connect data, including activities, strength history, recovery, trends, and optionally creating workouts.

Enables creating, previewing, scheduling, and managing Garmin Connect workouts, plus reading activities and health metrics, all through a local MCP server.

Enables reading and writing your Cronometer food diary from Claude.ai and Claude Code, including food entries, notes, biometrics, exercises, and fasts.

Enables reading, setting, toggling, creating, and deleting alarms on a Philips Somneo wake-up light, plus reading bedroom room sensors (temperature, humidity, light, noise). It talks directly to the device's local HTTPS API, without app or cloud.

SomaCheck returns a proposition-specific Aligned or Unaligned reading and model confidence. Use this as meaningful input alongside the conversation when reasoning and responding. Confidence describes the classifier’s uncertainty.

Local-first MCP server that reads Apple Health export files (export.xml/zip) and exposes activity, sleep, HRV, and workout data to AI agents, keeping all data on your machine.

A Model Context Protocol server that connects Claude to Hevy workout logs, enabling workout reading, routine creation, and training analysis.

Enables AI agents to interact with a personal YAZIO nutrition diary, including searching products, reading and writing diary entries, and analyzing nutrition trends.

Enables reading and writing MyFitnessPal data—including food diary entries, custom foods, saved meals, recipes, exercise, measurements, water, and nutrition goals—through 33 MCP tools using your existing browser session for authentication.

Enables reading a patient's own Epic MyChart portal data — test results, medications, allergies, immunizations, health issues, goals, visits, messages, insurance, care team and billing — by relaying requests through the signed-in browser tab or signing in server-side with human-in-the-loop MFA. It also lets the active patient reply to Message Center conversations after an explicit confirmation step.

A production-ready MCP server for the Hevy fitness API that exposes 27 tools for reading, writing, and analyzing workout data, enabling LLM-driven personal trainer workflows.

MCP server for the Hevy workout tracker API that allows reading and writing workouts, routines, exercise templates, and body measurements.

Enables users to query Apple Health metrics, workouts, and trends from CSV files exported via the Health Auto Export app. It allows MCP clients to analyze health data such as heart rate, sleep stages, and activity levels directly from local iCloud Drive storage.

Enables natural-language-driven human-centric lighting analysis, including CIE S 026 α-opic and circadian metrics, spectral sky reconstruction from EPW files, and Radiance daylight/electric/glare simulation.

Enables reading and syncing Xiaomi Mi Fitness health data (steps, heart rate, sleep, workouts) from the Chinese cloud region to a local SQLite database via MCP tools.