Vaultbeat MCP Server
Related Servers
Alternatives to Vaultbeat MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceProvides 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.1MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables 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
- AlicenseNot gradedqualityAmaintenanceEnables AI agents to read your own Apple Health data through a self-hosted SQLite mirror, allowing them to query health metrics, workouts, meals, and strength logs without sending data to the cloud.76 PyPI4MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI assistants to read-only access Apple Health data through three tools: current status and sleep, detailed metrics, and 7/14/30-day trends, deployed via one-click on Cloudflare with private-key authentication.MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI to read-only access Apple Health data (current status, sleep, trends) via a Cloudflare-deployed MCP server, using iPhone shortcuts to sync data.MIT
- AlicenseNot gradedqualityNot gradedmaintenanceEnables AI to read-only access Apple Health data (current stats, sleep details, and trends) via a Cloudflare-deployed MCP server, using iPhone shortcuts to sync data securely.MIT
TDQS
Scored across 29 tools
Most tools target a distinct resource+action, and the descriptions include explicit 'which tool to use' guidance (e.g. get_sleep_detail vs get_sleep_nights vs get_metric, or get_metric vs get_intraday). However, the deliberate log_X_entry (replace) vs log_X_append (add) pairs, plus the many read tools over overlapping metric data, create genuine adjacency that an agent could misselect without reading the long caveats.
Names follow a strict verb_noun snake_case convention throughout: get_*, log_*, update_*, delete_*, list_*, compare_*, correlate_*. The replace/append split is expressed consistently across note, strength, and food domains, with vaultbeat_doctor as the only (understandable) outlier.
29 tools is heavy and sits at the edge of the 'too many' band for a single server. The health domain is broad enough that each tool is justified (multiple data types, read/append/replace variants), but the surface is large enough that an agent must navigate a lot of near-adjacent options.
Broad lifecycle coverage: symptoms, state of mind, notes, strength, food, weight, and metrics all have create/read (+update or append/delete) paths, and Apple-Health-sourced kinds are correctly read-only. Gaps are minor — no delete for food/strength/notes (only replace/append) — and are largely explained as intentional given the app as source of truth.