"Vector Database" 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.

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.

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

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.

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.

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.

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

Provides Claude with SQL access to Hevy workout history and personal training conventions stored in a SQLite database. It enables detailed analysis of exercise progress, volume trends, and muscle group mappings through natural language queries.

Exposes a locally synced SQLite database of Garmin China (connect.garmin.cn) activities and daily health metrics as nine tools covering activity lists, per-activity splits, rest-HR/HRV/sleep/Body Battery data, weekly training-load summaries, multi-day sleep reports, morning briefings, and read-only SQL. Queries auto-trigger incremental sync when local data is stale, so users can ask training and recovery questions in plain language.

Enables logging meals, tracking calories and macros, reviewing daily and range summaries, setting weight goals, searching foods and recipes, and getting meal suggestions from any Claude client, with optional multi-user household support. Includes a local food database for items missing from FatSecret and OAuth-based authentication to FatSecret profiles.

Read-only MCP server that exposes Garmin Connect health data from a local SQLite database to AI assistants, enabling queries for recent days, sleep, weekly trends, and a guarded SQL query surface.

Enables ChatGPT to query, sync, and page through cached health data from Xiaomi Cloud — daily summaries, steps, sleep, heart rate, HRV gaps, and workout records with native heart-rate samples — stored in a private Sites D1 database. Sync tools trigger incremental or historical backfill and report progress, while query tools read only the local cache so ChatGPT can analyze the data itself.

Connects to a Gym Tracker Supabase database to provide LLMs with access to personal workout history, routines, and training progress. It enables users to analyze fitness performance, track personal records, and receive personalized coaching advice through natural language.

Exposes Zwift training history stored in a local SQLite database to MCP clients and a REST API, enabling queries for activities, power curves, race results, and training load.

Tracks daily calorie intake with accurate BMR/TDEE calculations, food logging, and profile management via Cloudflare Workers and D1 database.

Enables AI assistants to retrieve and analyze Garmin Connect health data, including daily summaries, sleep, HRV, workouts, and raw FIT files, while also supporting SQL queries on the underlying database.

Enables AI assistants to query health metrics such as activity, blood pressure, glucose, heart rate, sleep, and SpO2 from a PostgreSQL-backed wellness database, returning structured data and summaries through MCP tools.

This MCP server provides read-only access to your local Garmin Connect history, enabling Claude to query workouts, sleep, training load, fitness scores, records, and gear via natural language. It uses a sync script to pull data into a local SQLite database, ensuring privacy and offline operation.