Chronova MCP Server
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TDQS
Scored across 4 tools
Each tool targets a distinct area: AI insights, developer profile, productivity aggregates, and raw activity events. The descriptions clearly differentiate the data returned, leaving no ambiguity about which tool to select.
All tool names follow a consistent get_<object> pattern with clear snake_case naming. The verbs and nouns are uniform, making the API predictable and easy to navigate.
With only 4 tools, the server is tightly scoped to read-only coding analytics. Each tool covers a distinct and necessary data view without unnecessary bloat or redundancy.
The set covers the major analytics surfaces: AI insights, user context, productivity summaries, and raw activity logs. Minor gaps like team-level analytics or detailed project history could exist, but core personal coding analytics needs are well served.