cellpy-mcp
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TDQS
Scored across 12 tools
Each tool targets a distinct resource or action: listing loaders, cells, and templates; loading; collecting; previewing; exporting; rendering; and API lookup. The list_* and describe_* tools are differentiated by their object type, and the collect/preview/export trio is clearly separated by what it returns or writes.
Most tools follow a clear verb_noun snake_case pattern (list_cells, load_cell, export_collection, search_api). Minor deviations like 'collect', 'render', and 'new_project' are still readable and predictable, so consistency is high but not perfect.
Twelve tools is well-scoped for a domain-specific analysis server. Each tool covers a meaningful part of the cellpy workflow without redundancy or bloat.
The set covers the full workflow: inspecting environment support, loading cells, building collections, previewing and exporting data, rendering figures, discovering API calls, and creating batch projects. The self-documentation tools fill gaps that would otherwise require external knowledge of cellpy.