A
licenseNot graded
qualityB
maintenanceExposes personal health data (recovery, sleep, strain, etc.) as MCP tools for AI agents to query and analyze.
3
MIT
apeiron-mcp
by Apeiron-Life
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TDQS
B3/5.0
Scored across 11 tools
Disambiguation4/5
Most tools target distinct data domains (cognitive, sleep, exercise, nutrition, cardio, fitness assessment). Potential confusion exists between the two summary tools and between domain-specific get_*_data and get_trends, but descriptions clarify raw versus derived data.
Naming Consistency5/5
All 11 tools use consistent snake_case with the get_ verb prefix followed by a descriptive noun phrase. The pattern is predictable and readable throughout, with only minor length variations.
Tool Count5/5
11 tools is well-scoped for a read-only health data aggregation server. Each tool maps to a distinct data source or summary type, with no obviously redundant tools.
Completeness4/5
The surface covers core health domains (cognitive, sleep, exercise, nutrition, cardio, fitness assessments) plus summaries, trends, notes, and chat. Minor gaps include no client listing or metadata tool, but for a read-only aggregation API the coverage is strong.
Maintenance
ActivityMaintained
ResponsivenessNo issues