"Understanding File Systems" matching MCP servers:

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.

An MCP server for authoring and managing structured workouts (SuuntoPlus™ Guides) on Suunto watches, with swappable transports (file, Cloud API, or private mobile API) and a coach-oriented domain model that lowers to the display-oriented guide format.

MCP server for connecting Claude Desktop to a local medical knowledge base with real-time file watching, enabling natural language interaction with medical documents.

Enables any MCP-capable agent to read and write a local personal timeline — GPS tracks, photos, workouts, health metrics, and stays — through seven indexed tools for monthly timelines, cross-modal lookups around a moment, geo-track retrieval, atlas exports, and idempotent JSONL ingestion. All data stays in a single on-device SQLite file, with no arbitrary SQL and no cloud.

MCP server that provides local caching, sync, and tools for Zepp Life health data including steps, sleep, heart rate, workouts, and body measurements, supporting both file exports and cloud session access.

MCP Server for Google Cloud Healthcare API enables Agentic AI for a variety of FHIR-based digital health solutions, from smarter clinical workflows for Health Systems to Pre-Auth frameworks for Payers!

A local-first, model-agnostic MCP server that stores personal health data in a SQLite file and provides analysis-ready views for any AI client to log, retrieve, and reason over health records.

Enables AI agents to securely interact with FHIR R4-based EMRs, supporting read, search, create, and update operations on any FHIR resource type across systems like Epic, Cerner, and OpenEMR.

Exposes seven typed MCP tools that let clients screen lab results for delta checks, trends, HIL interference, implausible combinations and patient-based QC, retrieve results and patient trends, inspect the case review queue and evidence packets, check PBRTQC status, and file agent proposals for human approval. Every suspicious case is queued for pathologist review, and no tool ever releases, verifies or autoverifies a result.

MCP server for workout-file conversion: convert, validate, and inspect FIT, TCX, ZWO, and Garmin Connect files, with round-trip-safe conversions through the KRD canonical JSON format. Runs locally over stdio via npx -y @kaiord/mcp. Part of the open-source, local-first Kaiord training platform.

A local, read-only stdio MCP server that bridges Codex to the COROS MCP gateway, enabling sport data queries through an allowlisted set of tools while excluding file and write operations.

Enables MCP clients to retrieve one dated entry—quote, title, source, and full reflection—from a user-generated JSON file, defaulting to today when no MM-DD is given.

Connects agents and other MCP hosts directly to the official Hevy Public API for reading workouts, routines, exercise templates and history, routine folders, body measurements, and account information. Writes stay gated behind a server-level opt-in plus per-call confirmation, with credentials kept local via Keychain, an environment variable, or a key file.

Exposes DICOM operations as tools for AI agents to interact with medical imaging systems and PACS. It enables searching for studies and series, querying instance metadata, and retrieving pixel data from DICOM entities.

Enables AI agents to act as personal growth coaches, allowing users to set goals, receive personalized daily tasks, and track progress with dynamic replanning and reward systems.

Remote MCP server for Garmin Connect on Cloudflare Workers (free tier), providing 139 tools and 5 resources covering activities, health, training, workouts, nutrition, challenges, devices, gear, weight, women's health, courses, FIT-file analysis, and user profile, with OAuth 2.1 login flow.

Enables searching and retrieving detailed medical knowledge on diseases, vaccines, medical examinations, and treatments, supporting health-related queries and medical concept understanding.