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Trainzilla

Trainzilla MCP

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    Related Servers

    • F
      license
      Not graded
      quality
      A
      maintenance
      Connects Claude and other AI assistants to any TrainingPeaks account via secure cookie authentication with no API approval, enabling natural-language querying and management of workouts, structured intervals, calendars, events, equipment, strength sessions, health metrics, and coach tools like athlete groups and multi-week training plans. It also surfaces fitness analytics such as CTL/ATL/TSB trends, power and running PRs, weekly TSS summaries, and annual training plan targets, with optional inline charts on clients supporting MCP Apps.
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    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables workout tracking and coaching within Claude conversations, managing exercise configs, logs, streaks, and health metrics via an MCP server with PostgreSQL.
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    • F
      license
      Not graded
      quality
      A
      maintenance
      Enables Claude and other AI assistants to query and manage an athlete's cycling, running and strength data through secure cookie authentication, with no API approval required. Users can create and schedule structured workouts, edit calendar events and notes, analyze power PRs and CTL/ATL/TSB fitness trends, log health metrics, and manage coach rosters entirely through natural language.
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    • A
      license
      Not graded
      quality
      B
      maintenance
      A personal remote MCP server that lets Claude read your Hevy workout data and MacroFactor nutrition data directly in conversation, with read-only tools for workouts, body measurements, macros, and weight trends.
      MIT
    • F
      license
      Not graded
      quality
      A
      maintenance
      Connects Claude and other AI assistants to a TrainingPeaks account through secure cookie authentication that requires no API approval, enabling users to query and analyze workouts, fitness trends (CTL/ATL/TSB), power and running PRs, health metrics, and equipment via natural language. It also supports building structured interval and strength sessions, scheduling workouts and plans, managing races, calendar notes, and athlete groups, and updating thresholds and zones.
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    TDQS

    A3.5/5.0

    Scored across 23 tools

    Disambiguation5/5

    Each tool targets a distinct resource and action. List tools differentiate by entity (clients, check-ins, habits, etc.), create tools are specific, and calc tools serve unique purposes. No two tools have overlapping functionality, making selection unambiguous.

    Naming Consistency4/5

    Most tools follow a consistent verb_noun pattern (e.g., list_clients, create_habit). However, 'master_habits' and 'recent_habit_activity' deviate from the expected 'list_*' prefix, and 'whoami' is a single word, slightly breaking the pattern.

    Tool Count4/5

    23 tools cover a wide range of coaching functionalities (clients, habits, plans, sessions, billing, calculations). While slightly above the typical 3-15 range, each tool serves a distinct purpose and contributes to the server's comprehensive scope.

    Completeness2/5

    The tool surface is heavily skewed toward creation and listing. There are no update or delete operations for any resource (e.g., diet plans, workout plans, habits, sessions), which leaves agents unable to modify or remove existing data, creating significant workflow gaps.

    Maintenance

    ActivityActive
    ResponsivenessNo issues