Intervals Icu MCP vs Health Export MCP
A side-by-side look at the Intervals Icu MCP and Health Export MCP MCP servers: transport, auth, tools, quality signals, and the config to install either one in Claude, Cursor, Windsurf or VS Code.
Verdict: choose Intervals Icu MCP for sports work as a local process; choose Health Export MCP for monitoring as a local process. You can also run both side by side in one mcpServers block.
Which MCP server should you choose?
Choose Intervals Icu MCP when
- You need dedicated capabilities in the Sports domain.
- You prefer a local stdio subprocess transport.
- You have the keys it needs:
INTERVALS_ICU_API_KEY, INTERVALS_ICU_ATHLETE_ID. - You want tools like
icu_get_recent_activities, icu_get_activities_by_date, icu_get_activity_details.
Choose Health Export MCP when
- You need dedicated capabilities in the Monitoring domain.
- You prefer a local stdio subprocess transport.
- Its auth model fits you: No auth required.
- You have the keys it needs:
HEALTH_DATA_DIR. - You want tools like
get_mcp_status, list_metrics, get_health_metrics.
Feature & specification comparison
Rows where the two servers differ are marked.
| Spec | ||
|---|---|---|
| Category | Sports | Monitoring |
| Quality signal | 63/100 · Good | 67/100 · Great |
| Install command | Confirmed | Confirmed |
| Transport | Local subprocess (stdio) | Local subprocess (stdio) |
| Auth | Not declared | No auth required |
| Pricing | Not declared | Free |
| Required env vars | INTERVALS_ICU_API_KEYINTERVALS_ICU_ATHLETE_ID | HEALTH_DATA_DIR |
| Verified owner | Community listing | Community listing |
| GitHub stars | 103 | 8 |
| Directory activity | 3 views 0 installs 0 upvotes | 9 views 0 installs 0 upvotes |
| Tools | 67 | 14 |
| Full listing | View Intervals Icu MCP | View Health Export MCP |
Tools & capabilities
Intervals Icu MCP tools 67
icu_get_recent_activitiesList the athlete's most recent activities (default last 30 days) — LIGHT summary per item (distance, duration, power, HR, training load). Use for "what have I done recently?", "show last week's rides". For one specific activity by ID use icu_get_activity_details; to search by name/tag use icu_search_activities.icu_get_activities_by_dateList activities within an EXPLICIT date window (oldest..newest) — LIGHT summary per item. Unlike icu_get_recent_activities (anchored to today and capped at 100), this targets an arbitrary historical window and is bounded only by `limit`. Use for "all my runs from June to November 2025", reconstructing training history, or finding the oldest activity in a period. Dates are YYYY-MM-DD. Results are newest-first; if a window holds more than `limit` items, the oldest are dropped first, so widen `limit` (or narrow the window) to reach the very oldest.icu_get_activity_detailsFetch the headline SUMMARY of one activity — name, sport, date, distance, duration, training load, weather, plus all top-level metrics in a single JSON blob. Use for "how was my ride?", "tell me about activity X". For lap-by-lap or per-interval breakdown use icu_get_activity_intervals; for second-by-second time-series use icu_get_activity_streams.icu_search_activitiesSearch activities by name or tag, returning a LIGHT result list — id, name, type, date, distance, time only. Use this first for "find my X" queries. Only escalate to search_activities_full when you specifically need power, HR, training load, or intensity-factor data on the matches (heavier payload).icu_search_activities_fullSearch activities by name or tag, returning FULL Activity objects with power, HR, training load, intensity factor, normalized power, weather — every metric per result. Heavy payload. Use only when the lighter search_activities won't tell you what you need (e.g. "find my threshold rides with NP above 250W").icu_get_activities_aroundFetch the activities chronologically before and after a reference activity (N each side). Use for "what did I do around this race?", training-context queries, progression comparisons.icu_update_activityUpdate an existing activity's metadata (name, type, trainer flag, RPE, feel, etc.). Only fields you pass are sent; everything else stays unchanged.icu_update_activity_streamsUpload raw time-series streams (power, HR, cadence, etc.) onto an existing activity. Destructive — overwrites existing stream data. Accepts JSON array or CSV. Different from get_activity_streams (READ).icu_bulk_create_manual_activitiesBatch-create manual activities (no device upload) with UPSERT on `external_id`. Existing activities with a matching external_id (set by the same OAuth app) are updated; activities without an external_id are always created new.icu_download_activity_fileDownload the original activity file. Downloads the ORIGINAL uploaded file (FIT, TCX, or GPX — whatever the device produced). Different from download_fit_file (forces FIT conversion) and download_gpx_file (forces GPX conversion). If `output_path` is set the file is saved there; otherwise the response embeds base64 content.icu_download_fit_fileDownload activity converted to FIT format (Garmin / most training platforms). Different from download_activity_file (original upload format) and download_gpx_file (GPX format).icu_download_gpx_fileDownload activity converted to GPX format (GPS devices, mapping software). Different from download_activity_file (original upload format) and download_fit_file (FIT format).- +55 more on the listing page
Health Export MCP tools 14
get_mcp_statusHealth check: data source, how many metrics/workouts are available, which optional context files exist, and the most recent data date. Call this first to confirm the bridge is connected.list_metricsList every available Apple Health metric with its unit, day count, and date range. Use this to discover metric names before querying.get_health_metricsGet values for a metric (or all metrics) over an optional date range, with an aggregate (avg/sum/min/max/latest). The core data-retrieval tool. Every result carries a `coverage` block giving the metric's real firstDate/lastDate/days: check it before trusting a long window, and note that `aggregate` is always computed over the full range even when `points` are rolled up. Single-metric answers also list any logged point events inside the window as segmentBoundaries.get_trendsCompare the most recent N-day window against the prior N days for a metric: change, percent change and direction (up/down/flat). Also returns `daysAvailable` and `windowSatisfied`: if windowSatisfied is false the file does not hold enough history for the window you asked for, and the comparison is over less data than requested. Logged point events inside the compared span are listed as segmentBoundaries.compare_periodsCompare a metric between two arbitrary date periods (A vs B): each aggregate plus the change and percent change. Pass periodA/periodB explicitly, or pass anchor {eventId, days} to build both periods around a logged event (the before/after question, with the event day excluded from both sides).get_structured_exportReturn clean structured JSON for the chosen metrics/date range. Paginated: the result carries `nextCursor` when more metrics remain; pass it back as `cursor` for the next page. Prefer naming the metrics you need and a date range; calling it bare over a full history is a lot of data.get_intradayThe current hour-by-hour window from the iOS app's HOURLY automations (health-intraday.json, app 1.4+): each metric's hourly points plus its latest value. The file is REPLACED on every hourly run, so this is a live within-day view, not history; use get_health_metrics for day-level questions. Returns available:false with setup guidance when no hourly automation has delivered yet.query_health_dataNatural-language convenience: pass a question and get routed structured results. Prefer the specific tools above when you can, and call list_metrics first to see how much history exists, since this tool answers over whatever the file holds.list_eventsLogged context events from health-events.json: medication starts, habit changes, doctor visits, life events, shift blocks, episodes, travel, and any type a newer app adds. Optional {type, tag, start, end} filters; a range event matches a window it overlaps. Sorted ascending by date. Returns available:false when the file was never exported; absence means nothing was exported, not that nothing happened.get_profileThe context fields the user explicitly opted in to sharing (health-profile.json): conditions, medications, goals, allergies, notes. Returns the fields plus a presentFields list. An absent field was withheld by the user or never enabled; absence must never be read as "none".get_workoutsQuery the workouts cache with {activityType (a name like Running, or a raw HealthKit id like 37), start, end} filters and pagination ({limit} default 50 max 200, {cursor} from a previous nextCursor). Records are returned exactly as stored, including the newer optional keys (avgHeartRate, maxHeartRate, running dynamics, cycling power, intervals, hasRoute) when the app exported them; older caches simply lack those keys and nothing is fabricated. Also returns summary {count, byActivityType} over everything that matched.get_sleep_sessionsClustered sleep sessions from health-sessions.json with {start, end, day} filters. Sessions are attributed to the WAKING day, matching the daily cache's sleep_analysis, so the two surfaces never disagree; a split night appears as multiple sessions with the same day, returned as-is. Timestamps carry the local UTC offset at the time of the sample.- +2 more on the listing page
Ready-to-paste client configs
Paste either block (or both) into your client config, e.g. claude_desktop_config.json or ~/.cursor/mcp.json. We only show a config when the install command is confirmed.
Intervals Icu MCP
{
"mcpServers": {
"intervals-icu-mcp": {
"command": "uvx",
"args": [
"intervals-icu-mcp"
],
"env": {
"INTERVALS_ICU_API_KEY": "YOUR_INTERVALS_ICU_API_KEY_HERE",
"INTERVALS_ICU_ATHLETE_ID": "YOUR_INTERVALS_ICU_ATHLETE_ID_HERE"
}
}
}
}
Health Export MCP
{
"mcpServers": {
"io-github-philipad-health-export-mcp": {
"command": "npx",
"args": [
"-y",
"health-export-mcp"
],
"env": {
"HEALTH_DATA_DIR": "YOUR_HEALTH_DATA_DIR_HERE"
}
}
}
}
Frequently asked questions
Intervals Icu MCP is categorized under Sports and uses a local stdio subprocess. Health Export MCP belongs to Monitoring and uses a local stdio subprocess. Pick Intervals Icu MCP for sports work and Health Export MCP for monitoring.
Copy the mcpServers block from the config section on this page into your client's config (for example claude_desktop_config.json or ~/.cursor/mcp.json), then fully restart the client.
Intervals Icu MCP has no declared pricing — check the project's own site. Health Export MCP is listed as free. Auth: no auth required. If a server needs environment variables such as API keys, define them under the env key in your client's MCP config.
Yes. MCP clients support multiple servers: add intervals-icu-mcp and io-github-philipad-health-export-mcp as separate keys in the same mcpServers object, and your assistant will call tools from either one.
On AllMCPs, Intervals Icu MCP has a quality signal of 63/100 (Good) with 3 views, 0 installs and 103 GitHub stars. Health Export MCP has 67/100 (Great) with 9 views, 0 installs and 8 GitHub stars.