{
  "SchemaVersion": "1",
  "Kind": "DirectoryIssues",
  "Slug": "apple-health",
  "Name": "Apple Health",
  "CanonicalUrl": "https://askpod.ai/mcp/apple-health/issues",
  "ServerUrl": "https://askpod.ai/mcp/apple-health",
  "IssueTotal": 8,
  "Held": 8,
  "Issues": [
    {
      "Title": "Catalogue is never rescanned and loadedTables always reports 0, so a working server looks empty",
      "Excerpt": "Two related issues in `FileCatalog` / `HealthSchemaTool` make a working server look empty. Both are easy to hit and produce silent wrong answers rather than errors.\n\n### 1. The file catalogue is scanned once and never refreshed\n\n`main()` calls `catalog.initialize()` -> `scanDirectory()` exactly once at start-up. Nothing ever rescans.\n\nIf the MCP client starts the server before `HEALTH_DATA_DIR` is populated — which is the normal case when you are still converting/exporting your data, or when the",
      "SourceUrl": "https://github.com/neiltron/apple-health-mcp/issues/12",
      "PublishedAt": "2026-07-31T06:06:24.000Z",
      "State": "closed",
      "Comments": 1,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Workout data can never be loaded: catalog regex requires a literal 'TypeIdentifier'",
      "Excerpt": "## Summary\n\nThe file catalog only matches filenames containing a literal `TypeIdentifier`, so workout data can never be catalogued. As a result `health_report`'s workout section always fails, and workouts are unreachable from `health_query`.\n\n## Cause\n\n`dist/server.js` (`src/db/catalog.ts`):\n\n```js\nconst match = file.match(/^(HK\\w+TypeIdentifier\\w+).*\\.csv$/);\n```\n\nWorkout files are named `HKWorkoutActivityType.csv` — no `TypeIdentifier` — so the regex never matches and no `hkworkoutactivitytype",
      "SourceUrl": "https://github.com/neiltron/apple-health-mcp/issues/11",
      "PublishedAt": "2026-07-31T05:36:24.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "health_report returns empty sections on a cold server: HealthReportTool never loads its tables",
      "Excerpt": "## Summary\n\n`HealthReportTool` is constructed without a `TableLoader`, so `health_report` queries tables that were never loaded. On a freshly started server every section fails and the report comes back empty.\n\n## Reproduce\n\nStart the server against a data directory and call `health_report` as the very first tool call:\n\n```json\n{ \"name\": \"health_report\", \"arguments\": { \"report_type\": \"monthly\" } }\n```\n\nResult:\n\n```json\n{ \"title\": \"Monthly Health Report (...)\", \"sections\": [], \"summary\": \"\" }\n```",
      "SourceUrl": "https://github.com/neiltron/apple-health-mcp/issues/10",
      "PublishedAt": "2026-07-31T05:36:08.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Sleep analysis always reports zero: stage labels are cast away and the report filters on the wrong column",
      "Excerpt": "### Summary\r\n\r\nSleep data is unusable in the current version. Two separate problems combine:\r\n\r\n1. The loader casts `value` to `DOUBLE`, which destroys the sleep stage labels (`asleepCore`, `asleepDeep`, `asleepREM`, `inBed`) — they all become `NULL`. The information is not exposed anywhere else, so an LLM writing its own SQL through `health_query` cannot recover it either.\r\n2. `generateSleepSection()` filters on `WHERE type LIKE '%Asleep%'`, but `type` is `HKCategoryTypeIdentifierSleepAnalysis`",
      "SourceUrl": "https://github.com/neiltron/apple-health-mcp/issues/9",
      "PublishedAt": "2026-07-31T05:01:49.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "health_schema silently truncates every table to 100 rows, causing wrong results in all later queries",
      "Excerpt": "### Summary\r\n\r\n`health_schema` loads each table with `LIMIT 100` and then marks it as fully loaded in the catalog. Because `TableLoader.ensureTableLoaded()` returns early for tables the catalog reports as loaded, the full data is **never** loaded. Every subsequent `health_query` and `health_report` call silently runs against only the first 100 rows.\r\n\r\nThis is a silent correctness bug rather than a crash: the server returns confident, well-formed answers computed from a small fraction of the dat",
      "SourceUrl": "https://github.com/neiltron/apple-health-mcp/issues/8",
      "PublishedAt": "2026-07-31T05:01:43.000Z",
      "State": "closed",
      "Comments": 0,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "HKCategoryType and Workout tables fail — hardcoded `unit` column reference",
      "Excerpt": "## Bug Summary\n\nAll 8 `HKCategoryType` tables and all 13 workout-type tables fail to load with **\"Referenced column 'unit' not found\"** because `cleanAndOptimizeTable()` and `loadTableSample()` hardcode a `unit` column reference that only exists in quantity-type CSVs.\n\n## Environment\n\n- Apple Health data exported via **Simple Health Export** iOS app (96 CSV files)\n- apple-health-mcp running on macOS with DuckDB\n\n## Root Cause\n\nThe CSV export from Apple Health has **three distinct table schemas**",
      "SourceUrl": "https://github.com/neiltron/apple-health-mcp/issues/6",
      "PublishedAt": "2026-02-09T18:40:18.000Z",
      "State": "closed",
      "Comments": 1,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Node version compatibility issues",
      "Excerpt": "Leaving a breadcrumb here if anyone runs across this. Not sure if the apple health mcp server can make this experience any better (Claude Desktop certainly doensn't make it easy), but if you have `nvm` installed it seems to conflict with how Claude Desktop loads the system version of `node` on macOS. \n\nThis can be overridden in the `claude_desktop_config.json` via these steps\nhttps://github.com/anthropics/claude-code/issues/539#issuecomment-3166366708",
      "SourceUrl": "https://github.com/neiltron/apple-health-mcp/issues/3",
      "PublishedAt": "2025-08-08T02:31:26.000Z",
      "State": "closed",
      "Comments": 2,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    },
    {
      "Title": "Add unit hints: The SQL queries it generates sometimes assume units - e.g. a short bike ride I had (0.87km) was reported as 0.87 metres!",
      "Excerpt": "Wonder if there is a way to prompt/hint/transform the fields so it sees distance_in_km or something to help it correctly work it out?",
      "SourceUrl": "https://github.com/neiltron/apple-health-mcp/issues/1",
      "PublishedAt": "2025-07-29T12:22:46.000Z",
      "State": "closed",
      "Comments": 1,
      "Reporter": "External",
      "Rank": "top",
      "Extractor": "github_issue"
    }
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      "8 problems reported from outside the maintainer team",
      "No tool list published — Pod has not verified what it exposes",
      "If you use Apple Health, write down what actually happened so the next agent pays less"
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