mcp-datanorge
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TDQS
Scored across 6 tools
ask and search both retrieve resources but are clearly differentiated as natural-language discovery vs. precise filtered full-text search. get_resource, fetch_data, sparql, and find_organization each have a distinct purpose, with only minor overlap between ask and search for simple queries.
Four tools use a readable action-oriented style, but the names are not fully consistent: get_resource, fetch_data, and find_organization follow verb_noun, while ask and search are bare verbs and sparql is a protocol name rather than an action. All names are lowercase and readable, but the pattern is mixed.
Six tools is a well-scoped count for a data catalog client. Each tool covers a distinct part of the workflow: discovery, search, metadata retrieval, advanced querying, data download, and publisher lookup.
The toolset covers the full journey from finding a resource to retrieving metadata and fetching the underlying data, including SPARQL for advanced queries and organization lookup for filtering. Pagination, empty queries, RDF formats, and file streaming remove common dead ends.