"Eight Sleep" 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.

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.

A read-only MCP server that allows AI assistants to analyze CPAP/BiPAP therapy data from OSCAR by querying its local SQLite database, with privacy protections and tools for summarizing and investigating sleep therapy metrics.

Enables Claude Desktop and Claude Code to read locally synced Fitbit Air health data — scores, trends, sleep, activity, running and body age — run read-only SQL against it, and keep a journal and coach notes on the user's Mac. It also offers profile edits, a refresh tool, and guided prompts such as morning check-ins, weekly reviews, race planning and score explanations.

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 querying Garmin health data stored in Supabase through natural language, providing access to VO2 max trends, activity breakdowns, sleep statistics, race predictions, heart rate zones, and training load metrics.

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 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 syncing Xiaomi Mi Fitness cloud health data into a local SQLite cache and querying it through MCP tools for daily activity, heart rate, sleep, workouts, body measurements, blood oxygen, stress, and abnormal heartbeat records.

MCP server that exposes personal device data from sources like Oura into a unified SQLite store, allowing Claude to answer questions across metrics (sleep, activity, etc.) with a set of read-only tools.

Enables clients to resolve drug name sets into exact source identities and check every unordered pair in a prescription list against hash-pinned DDInter-derived source assertions of one to eight drug names. Returns recorded interaction evidence or an explicit unknown/ambiguous status, never treating missing evidence as a no-interaction finding, and performs no writes.

An MCP server that enables SQL analytics on DuckDB and MotherDuck databases, allowing AI assistants and IDEs to query and analyze data.

Provides read-only MCP tools to query historical air-raid alerts for Kyiv City, including alert windows, sleep window overlaps, and data coverage verdicts.

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 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.

An MCP server and web application that enables natural language medical queries and patient data analysis powered by Gemini AI. It allows users to track and analyze patient biometrics, including vitals, sleep patterns, and laboratory results, through a comprehensive set of automated medical tools.

Enables ChatGPT to access and analyze personal Garmin health data including daily steps, heart rate, calories, sleep duration, and body battery levels. Collects data via webhook from Garmin devices and provides health insights through natural language queries.