A
licenseNot graded
qualityC
maintenanceProvides AI with read-only access to Apple Health data via three tools (health_now, health_detail, health_trends). Deployable on Cloudflare with a one-click mobile setup.
MIT
Vaultbeat MCP Server
by Fino-wind
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- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to read Apple Health data through three tools: current stats, detailed metrics, and trends. Deployable to Cloudflare with a one-click phone setup, exposing only read-only access.MIT
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TDQS
A4.3/5.0
Scored across 26 tools
Disambiguation5/5
The descriptions go out of their way to disambiguate overlapping tools: get_sleep_detail vs get_sleep_nights vs get_metric sleep series, log_X vs log_X_append (replace vs append), and get_symptoms vs get_notes vs log_symptom are all explicitly contrasted with 'which tool to use' sections. Every tool targets a clearly distinct resource+action, making misselection unlikely.
Naming Consistency4/5
Strong, predictable verb_noun snake_case throughout (get_*, log_*, update_*, delete_*, list_*, compare_*, correlate_*), with append/replace pairs named in a consistent pattern. The only deviation is 'vaultbeat_doctor', which breaks the verb_noun convention but is a single, clearly special-purpose tool.
Tool Count4/5
26 tools is at the upper end, but the domain is genuinely broad (sleep, metrics, symptoms, notes, food, strength, workouts, cycle, profile, plus analysis and diagnostics). Each tool maps to a distinct data kind or operation rather than duplicating surface, so the count is largely earned despite being slightly heavy.
Completeness5/5
The surface covers the full lifecycle: reads for every data kind, writes for symptoms (log/update/delete), notes, food, strength, and weight, plus analysis tools (trend, compare, correlate), discovery (list_metric_series), and diagnostics (doctor). Replace-vs-append pairs, partner reads, and coverage/limit handling leave no obvious dead ends.
Maintenance
ActivityActive
ResponsivenessNo issues