nyc-open-data-mcp
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TDQS
Scored across 4 tools
search_datasets (catalog discovery) and query_dataset (SoQL execution) are clearly separated by a documented workflow. However, restaurant_inspections and service_requests_311 overlap with what query_dataset could do against those same datasets, so an agent may wonder when to use the specialized tools versus the generic query tool.
All names are snake_case, which is good, but conventions are mixed: search_datasets and query_dataset use verb_noun, while restaurant_inspections and service_requests_311 are noun phrases with no verb. Readable but not a predictable pattern.
Four tools is on the lean side but each earns its place: one discovery, one general query, and two high-value pre-built domain queries. A reasonable, well-scoped set for the server's purpose.
search_datasets plus query_dataset give broad coverage of the whole NYC Open Data catalog, and the two specialized tools add convenience aggregations. Minor gaps like dataset metadata/column-listing or write operations exist but read-only SoQL over any dataset covers most needs.