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trendsmcp-ai

steam-trends-mcp

by trendsmcp-ai
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Python
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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

    A4.7/5.0

    Scored across 3 tools

    Disambiguation5/5

    Each tool targets a distinct query type: get_growth handles point-to-point growth, get_time_series provides full historical series, and get_top_trends returns live top-trending boards. The descriptions explicitly cross-reference when to prefer one tool over another, so there is little risk of misselection.

    Naming Consistency5/5

    All three tool names follow the same get_<specific_noun> pattern using snake_case. The verb prefix is consistent and the object distinguishes the data shape clearly.

    Tool Count5/5

    Three tools is within the ideal 3-15 range and each one earns its place by covering a distinct data retrieval mode. No redundant or filler tools exist.

    Completeness4/5

    The set covers the core needs for this domain: historical series, growth calculations, and live trend boards. A minor gap is that there is no explicit tool for listing available sources or categories, though the descriptions mention them inline.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources