AI Loop Library MCP
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TDQS
Scored across 9 tools
Most tools have distinct roles (get_loop vs render_run_protocol, critique_loop vs design_loop). However, browse_catalog, search_loops, and pick_loop_for_goal all help discover loops, and their boundaries—especially between search and pick—require reading descriptions to avoid misselection.
Most names follow a clear verb_noun snake_case pattern (browse_catalog, search_loops, get_loop, critique_loop, design_loop, list_categories). Minor deviation: catalog_stats is a noun phrase rather than verb-led, inconsistent with the rest.
Nine tools are well-scoped for a library browse/curate/design server. Each tool earns its place across discovery, inspection, rendering, critique, design, and metadata.
The surface covers discovery (browse/search/pick), depth (get_loop), execution (render_run_protocol), quality (critique_loop), creation (design_loop), and metadata (list_categories/catalog_stats). A gap remains for updating or managing existing loop entries, but that may be out of scope.