primary-sources-mcp
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TDQS
Scored across 12 tools
Most tools target distinct providers/actions (sec_edgar_fulltext vs sec_edgar_company, companies_house_search vs companies_house_company). The main soft spot is hk_open_data_search vs hk_open_data_filter, where catalogue-level search versus dataset-level filtered query could be confused, and jina_read acts as a generic fallback that overlaps any fetch need.
Names consistently use snake_case with a provider-prefixed pattern (sec_edgar_*, hk_open_data_*, companies_house_*). A few tools (hkma, gdelt_news, fred_series, jina_read) drop the explicit action verb, creating minor deviation but still readable and predictable.
12 tools is well within the healthy 3-15 range for a multi-source data aggregator. Each tool maps to a recognizable external API or resource, so no entries feel redundant or padded.
The server covers a broad set of primary sources (US SEC, UK Companies House, HK open data, HKMA, World Bank, FRED, GDELT) with search+detail pairs where relevant. Minor gaps exist—no dedicated detail endpoints for World Bank/FRED/GDELT and no generic structured-data fetch beyond jina_read—but core workflows are workable.