Health Analyzer MCP Server
health-analyzer-mcp
npm
v1.1.2
Published by krumjahn — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.
MCP server that exposes your Apple Health data to Claude, Cursor, and other MCP clients via the Health Data AI Analyzer Mac app. All data stays local.
The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.
1. Threat score — 100 − 0 = 100. What the published surface and source actually contain:
The deterministic scan raised no scored threat in the surface it inspected — the threat score stayed at 100. Capability observations and advisory notes are recorded but never lower it.
2. Client adoption risk — 100 − 1 = 99. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:
| Points | Adoption-risk factor |
|---|---|
| −1 | publisher verification (public source) — no provenance, but the source is public and inspectable |
Capability observations and info notes are shown under Findings but never scored.
Open any row's finding below for the file, line and evidence behind a deduction.
Findings 0
Tools 11
Each tool and what it can reach — statically extracted from the published source.
get_daily_health_briefno sensitive capabilityget_health_summaryno sensitive capabilityget_heart_rateno sensitive capabilityget_hrvno sensitive capabilityget_sleepno sensitive capabilityget_statusno sensitive capabilityget_stepsno sensitive capabilityget_vo2maxno sensitive capabilityget_weightno sensitive capabilityget_workoutsno sensitive capability
Show 1 more tool ↓
list_metricsno sensitive capability
What this scan could not see
- Tools were statically extracted from the published source (11 recovered), not enumerated from a running server. Tool-poisoning, Unicode-smuggling, capability and toxic-flow analysis ran on this inferred surface, but a mis-parsed registration could be missed or mis-attributed, so tool-derived findings are capped below “confirmed”. To grade the real runtime surface, scan the running server: --command "npx -y <package>".
Versions 2
Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.
| Version | Score | Findings | Engine | Scanned |
|---|---|---|---|---|
v1.1.2 latest |
A 99/100 | 0 | 1.13.0 | 2026-09-07 |
v1.1.1 |
A 99/100 | 0 | 1.12.1 | 2026-08-01 |
Embed this score
Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.
Verify this score yourself
The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.
npx mcptrustchecker scan health-analyzer-mcp --onlineMore in Lifestyle & Local
MCP server for Australian address search and validation via Addressr
Admissions data & match scores for law, medical, dental, MBA, pharmacy, vet, optometry schools
Live AI data for agents: model releases, regulations (EU AI Act), GenAI glossary, daily news.
AirTreks MCP Server — complex flight routing intelligence for AI agents. Plan multi-city trips, validate alliance routings, get carrier recommendations, and create trip ideas.
Physician-reviewed medical opinions and prescriptions for AI agents.
Thin MCP server + CLI that proxy the atrium /api/v1 observability surface using an oc_live_ Bearer key. Talks HTTP only — no Convex imports.