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Alternatives to macrofactor-mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      A
      maintenance
      MCP server that mirrors your Garmin data into a personal database and exposes tools for health summaries, training load, muscle readiness, and race analysis, with optional chat-driven insights via stdio or HTTP.
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    • A
      license
      Not graded
      quality
      C
      maintenance
      A local MCP server that exposes your Garmin Connect data—sleep, HRV, training readiness, workouts, and more—to any MCP-compatible AI assistant. Runs entirely on your machine and keeps your Garmin credentials private.
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    • A
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      B
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      A
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      MCP server for local fitness-data extraction and analysis from Garmin Connect, Intervals.icu, and Strava. Provides read-only analytical tools over DuckDB and targeted Strava enrichment.
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      AGPL 3.0
    • A
      license
      Not graded
      quality
      B
      maintenance
      Self-hosted fitness tracking MCP server that gives AI assistants access to your nutrition, training, weight, sleep, and accomplishment data via 77 tools and 5 resources. Enables natural-language logging and querying of personal health metrics through Claude or ChatGPT.
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    • A
      license
      A
      quality
      B
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      Local MCP server that connects Claude Desktop with Garmin and Apple Health data to read training and recovery, estimate heart rate and pace zones, analyze performance, and create structured workouts.
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    TDQS

    B3.4/5.0

    Scored across 29 tools

    Disambiguation3/5

    Several tools have overlapping purposes, such as multiple summary/report tools (daily_briefing, get_digest, weekly_report) and similar analytical tools (analyze_meal_patterns, sleep_analysis, nutrition_performance_correlation). Descriptions help differentiate, but an agent could easily select the wrong one.

    Naming Consistency4/5

    Most tool names follow a verb_noun pattern in snake_case (e.g., get_food_log, sync_garmin). However, some names use noun_noun (body_comp_trend, nutrition_performance_correlation) or are ambiguous (query), introducing minor inconsistency.

    Tool Count2/5

    With 29 tools, the server exceeds the 25-tool threshold for 'too many.' While the scope is broad (nutrition, fitness, Garmin data), many tools could be consolidated (e.g., multiple get_ tools) or are redundant given the SQL query tool.

    Completeness4/5

    The server covers the major domain areas well: nutrition tracking, body composition, workouts, Garmin health data, and cross-domain analytics. Minor gaps exist, such as no tool for setting goals or editing entries, but these are likely out of scope for a read-analysis toolset.

    Maintenance

    ActivityStale
    ResponsivenessNo issues