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Expose personal health data for AI querying and analysis of sleep and recovery.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "vitals" yet — see the docs or source repo.
Query my sleep and recovery data for the last 14 days, summarize the overall trends, and identify the dates with the biggest changes.
A trend summary with key dates and the corresponding changes.
Analyze my strain, sleep, and recovery data from the last week and check whether higher strain affected next-day readiness.
A simple relationship analysis across metrics and any observable patterns.
Using my personal health data, tell me which days this week had the best sleep and highest recovery.
Results organized by date for quick review.
When a user wants AI to directly access recovery, sleep, or strain data, this MCP tool enables querying and analysis. It turns personal health metrics into a conversational data source.
Researchers, data analysts, or individuals can ask AI to review trends across a time period and better understand changes in recovery and sleep.
It exposes personal health data as MCP tools for AI agents to query and analyze, including metrics such as recovery, sleep, and strain.
The description mentions personal health data such as recovery, sleep, and strain. For the full supported scope, see the source repository.
Based on the available information, you need personal health data that the tool can access. For installation, authentication, and runtime requirements, see the source repository.
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