$ loading_
Access Google Health data through a privacy-first MCP server for agents.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "io.github.davidmosiah/google-health-mcp" MCP server from askskill: Run: claude mcp add 'io-github-davidmosiah-google-health-mcp' -- npx -y google-health-mcp-unofficial
Use google-health-mcp to read my sleep and activity data from the last 7 days. Summarize sleep duration, steps, and active time by date, and point out any obvious anomalies.
A 7-day summary of sleep and activity, with notable anomalies or missing data highlighted.
Use google-health-mcp to fetch my heart rate data for the last 30 days, organize resting heart rate trends, and briefly explain the changes.
A concise heart rate trend summary that helps quickly review recent changes.
Use google-health-mcp to read my health, sleep, activity, and heart rate data, then generate a context overview for a health assistant, focusing on pattern changes over the last week.
A health overview text that an intelligent agent can use for further analysis.
Developers building assistants for health, sleep, or activity analysis can use this MCP server to let agents read Google Health-related data. It fits workflows built around LLM-based agents.
Researchers or data analysts can use it to retrieve sleep, activity, and heart rate data for trend summaries and review. It is useful when multiple health metrics need to be accessed in one place.
It is an unofficial MCP server for Google Health API v4 with a privacy-first focus. It is intended for agents working with health, sleep, activity, and heart rate data.
No. The description explicitly states that it is an unofficial Google Health API v4 MCP server.
The provided material does not include installation steps, runtime requirements, or key configuration details. See the source repository for setup prerequisites and installation instructions.
Query Google Health fitness data in natural language for quick personal insights.
Access Google Health metrics and optionally sync them into Obsidian notes.
Access daily health metrics, baselines, and a stable daily health summary.
Give AI agents read-only access to Google Health and Fitbit data.
Aggregate and query personal health data across sources with attribution.
Query and export Apple Health data with trends, comparisons, and structured results.