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country-analytics-mcp

by Satyampatel779
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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

    A4/5.0

    Scored across 8 tools

    Disambiguation4/5

    Tools are mostly distinct: list_continents, list_countries, and get_country_metric target different granularities, while region_total and rank_countries differ by aggregation vs ranking. However, both region_total and rank_countries share identical scope/year/currency semantics and could be confused for aggregate queries, and get_country_metric is buried despite its importance.

    Naming Consistency5/5

    All tool names follow a clear verb_noun pattern (list_continents, get_country_metric, region_total, convert_currency, describe_methodology). The only slight deviation is region_total and rank_countries which omit an explicit verb, but they remain readable and consistent within the set.

    Tool Count5/5

    Eight tools is well-scoped for a country analytics server: listing entities, fetching metrics, aggregating, ranking, converting currency, and explaining reconciliation/methodology. Each tool earns its place without redundancy.

    Completeness5/5

    The surface covers the full lifecycle: discovery (continents, countries), retrieval (get_country_metric), aggregation (region_total), ranking (rank_countries), currency conversion, and transparency tools (list_reconciliation_issues, describe_methodology). No obvious gaps for the stated domain.

    Maintenance

    ActivitySlowing
    ResponsivenessNo issues

    Resources