"sqlite" matching MCP servers:

Provides read-only access to Withings health metrics including body composition, sleep, workouts, and ECG data with local SQLite caching and trend analysis. Features incremental synchronization, automatic OAuth token refresh, and supports all 200+ Withings measurement types for comprehensive health tracking.

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.

Privacy-first MCP server for querying personal health and finance data with AI. Built with Python, FastMCP, and SQLite. Local-first and open source.

MCP server for the Google Health API: heart rate, activity, sleep, SpO2, HRV, ECG and irregular-rhythm notifications, read into a local SQLite cache for fast offline queries and trend analysis. OAuth 2.0 with automatic token refresh, incremental sync, a cache-only offline mode, and a doctor command that diagnoses a setup without spending quota.

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

Archives Garmin Connect health data locally (steps, HR, sleep, body battery) as JSON, no cloud, and also pulls context data (weather, pollen, air quality). Built-in MCP server (with SQLite cache) exposes the archive for querying via LLM tool calls.

A local MCP server that caches Garmin Connect data in SQLite for fast, read-only queries, with tools for bulk import, rate-limited sync, and failure alerts.

Integrates simulated health data and task management to provide energy-aware scheduling based on calculated readiness scores. It allows users to query health summaries, manage tasks, and generate optimized daily schedules through a local SQLite database.

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.

A generic MCP server for tracking any entity type (e.g., weight, workouts, books) without predefined schemas, using SQLite with JSON columns for flexible data storage and querying.

Read-only MCP server that exposes Apple Health data (steps, workouts, sleep, etc.) from a local SQLite store, allowing AI agents to query health metrics without sending data to hosted services.

Personal workout coach MCP server that logs exercises in natural language, tracks progress with SQLite, and provides coaching signals like estimated 1RM and volume trends.

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.

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.

A private, read-only MCP server that gives local Codex and Claude Desktop sessions access to athletics and wellness data from a Garmin Forerunner 55. It runs locally over stdio, exposes read-only tools for daily health, recovery, performance, and workouts, and caches data in SQLite.

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.

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.

MCP server for Mi Fitness cloud data. Provides a local SQLite-backed server to sync and query daily activity, heart rate, and body measurements.

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.