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Running Formulas MCP Server

by st3v
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Python
Remote

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    TDQS

    A3.9/5.0

    Scored across 9 tools

    Disambiguation4/5

    The tools are mostly distinct, with clear separation between pace conversion, Daniels formulas, McMillan formulas, and Riegel prediction. However, there is some overlap between 'daniels_predict_race_time' and 'riegel_predict_race_time', which both predict race times from a known performance, potentially causing confusion. The other tools have well-defined, non-overlapping purposes.

    Naming Consistency5/5

    All tool names follow a consistent snake_case pattern with a clear verb_noun structure (e.g., convert_pace, calculate_training_paces, predict_race_time). The naming is uniform across all tools, making them easily readable and predictable, with no deviations in style or convention.

    Tool Count5/5

    With 9 tools, the server is well-scoped for its purpose of running formulas, covering pace conversion, training pace calculations, race time predictions, and heart rate zones from multiple methodologies. Each tool serves a distinct function, and the count is neither too sparse nor overwhelming, fitting typical expectations for such a domain.

    Completeness4/5

    The tool set provides comprehensive coverage for running-related calculations, including conversions, training paces, race predictions, and heart rate zones from Daniels, McMillan, and Riegel methodologies. A minor gap is the lack of tools for other common running formulas (e.g., Karvonen method for heart rate), but the core workflows are well-covered, allowing agents to perform most essential tasks without significant dead ends.

    Maintenance

    ActivityInactive
    ResponsivenessNo issues

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