Schema | apple-health-export-mcp

apple-health-export-mcp

Describes the environment variables required to run the server.

Name	Required	Description	Default
`AH_DB_PATH`	Yes	Path to the SQLite database file containing Apple Health data.

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{ "listChanged": true }
`logging`	{}
`prompts`	{ "listChanged": false }
`resources`	{ "subscribe": false, "listChanged": false }
`extensions`	{ "io.modelcontextprotocol/ui": {} }
`experimental`	{}

Functions exposed to the LLM to take actions

Name	Description
list_typesA	List which health metrics exist in this export, with row counts and date spans. Call this first to discover the exact `type` strings to pass to `get_quantity`.
list_sourcesA	List which sources/devices wrote a metric, with counts and date spans. Use it to see why a `sum` differs across devices, or to pick a `source` for `get_quantity`.
get_quantityA	Aggregate a numeric metric (steps, weight, heart rate, energy…) over a date range. Call `list_types` first to find the exact `type` string. Pick `agg` by metric kind: `sum` for cumulative (steps, active energy), `avg` for sampled (weight, heart rate). `sum` auto-deduplicates parallel devices (Watch + iPhone + apps) per day, so it does not over-count (ADR-0010); pass `source` to force one device. `avg/min/max` are not deduped. Returns [{period, value, n}].
get_sleepA	Per-night sleep stage durations (minutes), attributed to the wake-up day. Returns [{night, asleep_min, rem_min, deep_min, core_min, awake_min, in_bed_min}]. Older nights may report only in_bed_min (legacy devices lack stage detail).
get_workoutsA	Workout summary per activity type in a date range: count, total & avg minutes.

Interactive templates invoked by user choice

Name	Description
`daily_summary`	A single day's health snapshot: steps, sleep, resting heart rate, workouts, energy.
`weekly_review`	Calendar-week review (Mon–Sun): training load, sleep, recovery, and a recommendation.
`monthly_summary`	A month in review: totals, averages, body-weight change, and trend.
`yearly_summary`	A year in review: big-picture fitness trajectory and milestones.
`readiness_check`	Should I train hard today? Based on last night's sleep and recent recovery markers.
`sleep_report`	Sleep deep-dive over a range: duration, stage breakdown, and consistency.

Contextual data attached and managed by the client

Name	Description
No resources

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curl -X GET 'https://glama.ai/api/mcp/v1/servers/burakdirin/apple-health-export-mcp'

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