CalisthenicsCompanion-MCP
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TDQS
Scored across 19 tools
The read-path tools (get_training_state, get_stats, get_adherence, get_progress, get_history) share statistical scope, but each has explicit carve-outs for what it does and does not return, which prevents serious misselection. The propose_* and suggestion tools are cleanly distinct from each other and from the reads.
All tool names follow a consistent verb_noun snake_case pattern: get_* for reads, list_* for collections, propose_* for proposals, set_* for parameters, and withdraw_* for the one mutating exception. There is no mixed casing or vague verb usage.
At 19 tools, the server is slightly above the ideal 3-15 band, but the count is justified by the breadth of the coach workflow: reads, analytics, parameters, proposals, and suggestion management. The set feels dense rather than bloated.
The tool surface covers the full coach workflow: raw history, computed training state, adherence, progress, templates, planned workouts, catalog, coach parameters, and proposal-based changes for plans, exercises, and calendar events, plus suggestion lifecycle management. Intentional gaps like accept/reject are external to the MCP boundary and clearly documented.