"Firebase Firestore Database Information" matching MCP servers:

Provides local MCP tools to query your own Xiaomi Mi Fitness health data (sleep, workouts, heart rate, etc.) stored in a local SQLite database, enabling AI assistants to access personal health records without exposing credentials.

Query your Apple Health data including sleep, heart rate, steps, workouts, and more by ingesting an exported XML archive into a local SQLite database.

Provides a unified MCP interface to a personal health database, enabling AI agents to sync lifting workouts from Hevy, log food intake against a catalog, and run read-only SQL queries to cross-reference training and nutrition data.

Enables AI agents to sync WHOOP recovery, sleep, workouts, cycles, and body-measurement data into a local Postgres database and query it through fast, offline-capable MCP tools without repeatedly hitting WHOOP API rate limits.

Connect MyFitnessPal to Claude or any MCP client. Log meals, search food database with macros, track trends, and export nutrition history against your real MyFitnessPal diary.

Turns your own wearable data into coaching for hybrid fitness races by exposing readiness, running coach plans, fitness trends and training summaries as tools an agent can query. Keeps your data read-only at the provider and lets you log the station work and race profile your watch can't see in a local database.

Enables AI agents to interact with the Strava API to retrieve athlete statistics and activity data. It provides tools for listing recent activities and fetching detailed information for specific workout sessions.

Apple HealthKit → PostgreSQL sync + MCP server for Claude Code, Cursor, and Ollama. Open-source iOS app with reliable background sync (HKObserverQuery). 11 tools covering health summary, sleep, HRV trends, workouts, daily snapshots, metric stats, period comparison, and coaching briefs. Supports Supabase, Neon, and self-hosted Postgres. Privacy-first: your data goes to your own database.

An MCP server that enables interaction with the Strava API v3 to manage fitness activities, athlete profiles, segments, and routes. It supports retrieving detailed performance metrics, exploring geographic data, and managing club information through natural language.

Enables workout logging, volume calculation, exercise database search with 1500+ exercises, and AI-powered workout plan generation with DynamoDB persistence.

Enables analysis and retrieval of JEFit workout data through natural language. Provides access to workout dates, detailed exercise information, and batch workout analysis for fitness tracking and progress monitoring.

A local, read-only Model Context Protocol server for an athlete's Strava profile and activities, enabling retrieval of profile data, activity lists (with paging and date filters), and detailed activity information via standard input/output for MCP hosts.

Provides access to Oura Ring health data including sleep, readiness, and resilience metrics through the Oura API, enabling language models to query and analyze personal health information.

Enables MCP clients to query locally computed recovery, strain, sleep, workout, and heart-rate data from a personal SQLite database, with tools for daily and sleep summaries, workout details, heart-rate buckets, schema inspection, reports, sync, and read-only SQL.

Connects Claude Desktop to Garmin Connect, enabling natural language queries of fitness activity data, health metrics, sleep analysis, workout management, and device information with 94 available tools.

Enables searching FatSecret's food and recipe database, and managing personal food diary, weight, exercise, saved meals, and favorites, with multi-user support and secure OAuth authentication.

Enables users to search and retrieve fitness exercise information from the Api Ninjas database. It supports filtering by exercise name, target muscle, type, and difficulty level.

A personal fitness tracking server that enables logging and querying workouts, nutrition, and body metrics through a local SQLite database. Integrates with OpenNutrition MCP for food logging and supports exercise history tracking for workout progression.

Downloads all your Garmin health and fitness data into a local SQLite database and exposes 45 MCP tools for AI analysis, enabling assistants to query sleep, training load, HRV, and more.

Enables AI clients to query and analyze your own Xiaomi/Mi Fitness health data — daily activity, minute-level heart rate, sleep stages, workouts, body composition, SpO₂, stress, and abnormal heart beat events — after syncing it from the Xiaomi cloud into a local SQLite database. Exposes 14 tools covering connection status, incremental sync control, and metric/date-range queries, with everything stored and served locally.

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.

Enables AI assistants to access Garmin Connect fitness and health data, including activities, heart rate, sleep, and device information.

MCP server that mirrors your Garmin data into a personal database and exposes tools for health summaries, training load, muscle readiness, and race analysis, with optional chat-driven insights via stdio or HTTP.

An MCP server specialized in managing and querying gym exercises through a centralized database. It enables users to search for workouts by name or muscle group and retrieve detailed information including sets, repetitions, and rest intervals.

MCP server that reads local SQLite database populated by a Playwright scraper to provide daily summary, food log, weight history, and water log from LoseIt.

An MCP server that connects Claude to Withings health data using OAuth 2.0. Provides 11 read-only tools to access body measurements, activity, sleep, heart rate, and device information from Withings devices.

Provides access to the Intervals.icu API for interacting with training data, activities, events, and wellness information.

Loads Apple Health export data into a local SQLite database and exposes tools to query health metrics and workout records via natural language.

Enables creation, management, and scheduling of Garmin Connect workouts from natural language descriptions, plus viewing activities, calendar data, and weather information from completed workouts.

Enables MCP clients to access Zepp/Amazfit health and fitness data such as steps, sleep, heart rate, workouts, and user profile information via tools.