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igpsport-mcp

by dengxuhui
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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

    A3.5/5.0

    Scored across 8 tools

    Disambiguation5/5

    Each tool targets a distinct aspect: training load analysis, activity comparison, lap splits, raw streams, summary metrics, athlete profile, aggregate stats, and activity listing. No functional overlap.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern (underscore-separated) with 'get_' for most retrievals and 'analyze_'/'compare_' for specific operations. No mixing of conventions.

    Tool Count5/5

    8 tools cover the domain of cycling/fitness data retrieval without being excessive. Each tool serves a clear purpose, and the count is within the ideal 3-15 range.

    Completeness4/5

    The tool set covers core operations: listing, summary, streams, laps, athlete profile, stats, training load, and comparison. A minor gap is the lack of route/segment data, but the core analytics are well represented.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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