F
licenseNot graded
qualityB
maintenanceEnables agents to ingest sleep debt, REM/deep sleep ratios, and HRV recovery metrics to compute an objective cognitive readiness index and dynamically reschedule high-intensity deep work blocks.
7
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Tempo MCP
by tsutera09
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- FlicenseNot gradedqualityBmaintenanceEnables users to evaluate biometric sleep and HRV recovery data, calculate a cognitive readiness score, and automatically reallocate demanding work blocks based on current capacity.7-
- AlicenseAqualityDmaintenanceProvides Claude with real-time access to local health data including sleep, recovery, strain, and workouts from WHOOP and Apple Health, enabling informed context-aware interactions.61MIT
- AlicenseNot gradedqualityFmaintenanceConnects your Whoop health data to Claude, enabling natural language queries about recovery, sleep, strain, and workouts.53 npmMIT
- FlicenseNot gradedqualityAmaintenanceEnables read-only access to WHOOP recovery, sleep, HRV, strain and workout data through 16 tools, 4 resources and 5 prompt templates for Claude Desktop, Claude Code, Codex and GitHub Copilot. Lets users ask natural-language questions about their trends, personal baselines, period comparisons and sleep debt without exporting data themselves.16 npm-
- AlicenseNot gradedqualityDmaintenanceIntegrates WHOOP biometric data into Claude and other MCP-compatible applications, providing access to sleep analysis, recovery metrics, strain tracking, and biological age data through natural language queries.16 npm13MIT
TDQS
A3.9/5.0
Scored across 11 tools
Disambiguation5/5
Each tool has a clearly distinct purpose: scoring, check-in logging, revenue/calendar ingestion, recommendations, action application, history, digest, license management, and export. No two tools overlap in function, and descriptions make boundaries explicit.
Naming Consistency4/5
Most tools follow a consistent verb_noun pattern (log_checkin, ingest_revenue_event, recommend_actions, apply_action), but a few like tempo_score, weekly_digest, and license_status are noun_phrases, slightly breaking the pattern. Still, all names are snake_case and readable.
Tool Count5/5
With 11 tools, the count is well within the ideal 3-15 range and each tool earns its place in the workflow—from data ingestion to scoring, recommendations, and administration. No redundancy or bloat.
Completeness5/5
The tool set covers the full domain lifecycle: input (check-in, revenue, calendar), analysis (tempo_score, recommend_actions), output (get_history, weekly_digest), execution (apply_action), and administrative functions (license_status, activate_license, export_data). Missing update/delete operations are not critical for this append-heavy logging use case.
Maintenance
ActivityInactive
ResponsivenessNo issues