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savantcat-ai-compliance-mcp

savantcat-ai-compliance-mcp

Official
by savantcat
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.9/5.0

    Scored across 8 tools

    Disambiguation4/5

    Descriptions explicitly delineate the trickiest pair (get_requirement by problem vs get_article by article number), and search_articles (within one law) vs search_compliance (across all entries) is spelled out. The remaining border pair list_topics vs regulation_info (entries vs regulations) is separable but subtler, so a minor confusion risk remains.

    Naming Consistency3/5

    All names are snake_case and readable, but only five of eight follow a clear verb_noun pattern (get_requirement, get_article, search_articles, list_topics, search_compliance). filing_route, regulation_info, and self_check break the verb-first convention, giving a mixed but still legible scheme.

    Tool Count5/5

    Eight tools is well-scoped for a regulatory lookup/reference server, with each tool occupying a distinct retrieval niche (per-entry, per-article, per-law search, cross-entry search, filing decision, scenario checklist). No obvious redundancy or padding.

    Completeness4/5

    The surface covers the retrieval lifecycle well: browse (list_topics, regulation_info), locate (search_compliance, search_articles), fetch verbatim (get_article, get_requirement), and apply (filing_route, self_check). Minor gaps exist, such as no explicit cross-regulation comparison or update/version-delta lookup, but core workflows are covered.

    Maintenance

    ActivityNo data
    ResponsivenessSyncing

    Resources