"How to add data to Google Sheets" matching MCP servers:

MCP server to read daily activity, sleep, heart rate, and body metrics from Google Health API, allowing AI assistants like Claude to access your health data. Optionally syncs health metrics to an Obsidian vault.

Enables AI agents to securely read and analyze your Google Health data from Fitbit, Pixel Watch, and Health Connect, providing baseline-aware insights, readiness scores, trends, and anomalies while keeping data local and read-only.

Enables read-only access to your own Withings health data through a personal developer app, exposing body measurements, blood pressure, daily activity, sleep summaries, and linked devices for natural-language queries.

Enables AI assistants to query read-only Fitbit and Pixel Watch health data through the Google Health API, including sleep, activity, heart rate, workouts, and profile information.

An MCP server that locally authenticates with Google Health API v4 and provides read-only access to Fitbit, Pixel Watch, and other health data for AI agents.

Read-only MCP server exposing daily health facts, 7/28-day baselines, and deterministic daily pulse from Google Health API data.

Enables connecting your own Google Health account to an MCP client through local OAuth, exposing 17 read-only tools for metric discovery, daily and recent summaries, trends, sleep, activity, recovery, body metrics and data quality. All access is observation-only, with request bounds and no create, update or delete capabilities.

A local-first MCP server that enables AI agents to read user-authorized Google Health API v4 data from Fitbit, Pixel Watch, and partners via OAuth, with tokens never leaving the machine.

Enables MCP clients such as Claude to query Fitbit and Pixel Watch health data — sleep, steps, heart rate, HRV, workouts, weight and nutrition — through the Google Health API, with built-in OAuth 2.0 sign-in and multi-user access so it can be hosted remotely and reached from web, desktop and mobile.

Enables reading personal activity, sleep, and health measurements, comparing weekly or monthly trends, and optionally saving food, water, mood, symptom, and menstrual-period records to Google Health through a self-hosted, owner-only deployment.

Self-hosted multi-user Google Health OAuth broker and read-only Agent API with remote MCP support. Enables users to connect their Google account and grant agents secure access to activity, sleep, heart, HRV, SpO2, and other health metrics via revocable per-token authentication.

A remote MCP server that gives MCP clients read-only, OAuth-authenticated access to Google Health API data such as activity, sleep, heart, body, nutrition and ECG records. It exposes tools for profiles, paired devices, data points, daily summaries and time-window rollups, and is deployed on Cloudflare Workers.

Enables AI apps to query a user's Google Health data—such as sleep, heart rate, HRV, activity, and paired devices—through read-only tools deployed privately in the user's own Firebase project.

Enables interaction with the Google Health API v4 using a user's OAuth grant, exposing tools for profiles, settings, paired devices, raw data points, reconciliation, rollups, and exercise export.

Read-only MCP access to Fitbit-synced health data through Google Health API v4. Provides tools for metrics, summaries, trends, and data quality without write or arbitrary HTTP operations.

An MCP server that connects AI clients to the Google Health API, enabling natural language queries about health and fitness data such as steps, sleep, heart rate, and exercise sessions.

Lets a single user read a bounded set of their own Google Health data from ChatGPT conversations through a private MCP connection, exposing four read-only tools for rollups, reconciled records, and irregular-rhythm notification history.

Enables AI assistants to read Fitbit/Google Health data (steps, sleep, heart rate, SpO2, workouts) and log weight, food, water, and exercises via natural language, self-hosted on Cloudflare Workers.

Gives Claude read access to wearable health data from Fitbit or Wear OS devices via the Google Health API, exposing tools for metrics like steps, heart rate, sleep, and workouts, plus a computed recovery score.

A remote MCP server that allows trusted LLM assistants to read Google Health/Fitbit data and log nutrition, hydration, and body measurements via the Google Health API.

Enables Claude to access and analyze Whoop health data including recovery, sleep, strain, and workouts through a custom MCP connector.

Enables MCP clients to query read-only Oura health data—readiness, sleep, HRV, activity, stress, heart rate and tags—through combined daily overviews, multi-day trends and aggregated heart-rate series. Authentication stays local via OAuth with PKCE, graceful handling of unavailable data types, and an optional sandbox of public sample data.

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 retrieval of InBody body composition data including profile, scan history, and full metrics via MCP tools.

Enables AI assistants to read Technogym mywellness training history, including workout sessions, per-exercise set data, per-second exercise analytics, and heart-rate traces.

MCP server for Cronometer nutrition tracking, enabling food diary management, nutrition data retrieval, food search, and biometric tracking via Cronometer's mobile REST API.

Provides read-only access to Oura ring biometrics via the Oura API, enabling Claude to query daily summaries, sleep, readiness, stress, workouts, baselines, and heart rate data. Designed to complement a Strava connector for joint analysis of training and recovery.

Enables AI assistants to read your Strava training data and answer plain-language questions about activities, splits, and totals across sports like running, skiing, and hiking.

Enables local, read-only access to Garmin Connect health and training data through MCP, letting assistants summarize recovery, sleep, activities, and more without uploading your data.

Query Apple Health export data with an LLM via a semantic layer that avoids common data traps, enabling accurate natural-language queries about health metrics. Optionally imports CPAP therapy data for correlation.