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Analyze Apple Health data coverage, separating observed values from placeholders and trends.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "apple-health-coverage-mcp" yet — see the docs or source repo.
Analyze my Apple Health step count data for the last 30 days, mark which daily values are observed versus possible placeholders, and provide a daily coverage summary.
A 30-day daily coverage breakdown that distinguishes observed data from placeholder values.
Using Apple Health metric data, generate a trend analysis for the last two weeks using only sufficiently covered days, and explain which dates were excluded due to low coverage.
A more reliable trend analysis plus a list of dates excluded for insufficient coverage.
Help me assess the data quality of an Apple Health metric, show day-level coverage, and identify which values may be placeholders rather than true observations.
A coverage and data-quality report that helps determine whether the metric is suitable for further analysis.
Before analyzing Apple Health metrics, data analysts or researchers can separate true observations from placeholders to avoid misleading trends. The tool also shows day-level coverage to help select usable dates.
When users need to know whether health records are complete enough over a period, they can use it to inspect daily coverage. This makes it easier to decide which dates should be included in comparisons or summaries.
It works with Apple Health metric data while accounting for data coverage. It distinguishes observed values from placeholders and provides day-level coverage and trend analysis tools.
It is coverage-aware, meaning it explicitly considers whether data was truly observed instead of treating placeholders as valid records. This helps produce more reliable day-level trend results.
The provided information does not include installation steps, runtime details, or key requirements. For prerequisites, see the source repository.
Query and export Apple Health data with trends, comparisons, and structured results.
Import Apple Health exports and query health and workout data in natural language.
Query 190 Apple Health metrics locally for read-only health tracking and analysis.
Access daily health metrics, baselines, and a stable daily health summary.
Sync Apple HealthKit to Postgres for AI-powered health data analysis.
Connect health data sources to AI for queries, analysis, and wellness insights.