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cfpb-complaints-mcp

cfpb-complaints-mcp

by bnovarini
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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    TDQS

    A3.9/5.0

    Scored across 10 tools

    Disambiguation4/5

    Each tool has a recognizable niche: discovery (dataset_info, list_values, find_company), search (search_narratives, count_narratives), aggregation (complaint_counts, trend, company_profile, compare_companies), and retrieval (get_complaint). The main overlap is trend versus complaint_counts with group_by=month/quarter/year, and company_profile versus complaint_counts grouped by company; descriptions hint at the distinction but an agent could easily pick the wrong one.

    Naming Consistency4/5

    All names are snake_case and readable, but the convention is mixed: verb-first (list_values, find_company, search_narratives, get_complaint, compare_companies, count_narratives) alongside noun-first (dataset_info, complaint_counts, trend, company_profile). Consistent casing keeps it predictable, but the verb/noun pattern is not uniform.

    Tool Count5/5

    Ten tools is well matched to a dataset-query server: discovery, aggregation, search, and lookup each get a few focused tools with no filler. Nothing feels redundant enough to cut, and nothing important is squeezed into one overloaded tool.

    Completeness4/5

    The surface covers discovery, filtering vocabulary, aggregates, trends, company comparison, narrative search, and single-record lookup, which is a full lifecycle for this dataset. The notable gap is a way to page through raw complaint records by structured filters alone (search_narratives requires keywords and only covers narrated complaints), so browsing non-narrative complaints row-by-row is not possible.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources