seoul-opendata-mcp
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TDQS
Scored across 5 tools
Each tool has a distinct role: recommendation, direct search, detail lookup, refinement, and recent updates. The main overlap is between recommend_seoul_apis_for_idea and search_seoul_datasets, but their input types and purposes are clearly differentiated.
All tool names follow a consistent snake_case verb_noun pattern (recommend_, search_, get_, refine_, list_). The objects vary slightly (apis, datasets, recommendations, recent_updates), but the structure is predictable and readable.
Five tools is a lean but reasonable scope for a catalog discovery server. Each tool serves a distinct facet of finding and exploring Seoul open data, though coverage could be expanded without feeling bloated.
The core discovery lifecycle is covered: search, detail, recommendations, and recent updates. However, a significant gap exists—get_seoul_dataset_detail explicitly cannot return API request URLs or parameter specs, requiring a browser workaround, which limits the set's usefulness for actually consuming APIs.