Skip to main content
Glama
dns-szrvs

aiTrainer

by dns-szrvs
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Local

Related Servers

Alternatives to aiTrainer

No user-submitted related servers found.

    Related Servers

    • fitness-tracker-mcp

      MayankKapgate
      F
      license
      Not graded
      quality
      C
      maintenance
      Offline MCP server for logging workouts, tracking dietary macros, and retrieving daily summaries, all stored in local SQLite. Enables fitness tracking via natural language in MCP-compatible clients.
      -

    • AIm

      persistmcp
      A
      license
      A
      quality
      A
      maintenance
      This MCP server enables logging workouts in plain language through AI assistants and provides tracking of sessions, programs, records, estimated 1RM, and per-muscle load, with coaching informed by the user's logged data.
      20
      MIT

    • Almanac MCP Server

      corcoran
      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.
      1
      BSD 2-Clause "Simplified"

    • MCP Logger

      JohnZolton
      F
      license
      B
      quality
      D
      maintenance
      A personal fitness tracking server that enables logging and querying workouts, nutrition, and body metrics through a local SQLite database. Integrates with OpenNutrition MCP for food logging and supports exercise history tracking for workout progression.
      17
      -

    • super-hevy-mcp

      stonelasley
      A
      license
      Not graded
      quality
      B
      maintenance
      MCP server for the Hevy workout tracker that enables users to query training history, log workouts, and manage routines via natural language.
      MIT
    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 6 tools

    Disambiguation5/5

    Each tool targets a distinct aspect: current workout, exercise history, progress, recent workouts, exercise list, and logging. No overlap in purpose.

    Naming Consistency5/5

    Every tool follows a consistent verb_noun pattern (get_, list_, log_), with no mixing of styles or vague verbs.

    Tool Count5/5

    With 6 tools, the server is well-scoped for a workout tracking assistant—not too few, not too many.

    Completeness4/5

    Covers core needs: listing exercises, logging, viewing current workout, history, and progress. Minor gap: no explicit create/close session, though log_workout may implicitly open one.

    Maintenance

    ActivityStale
    ResponsivenessNo issues

    Resources