Skip to main content
Glama
Sign In
Trainerize MCP Server

Trainerize MCP Server

by cotlet-connect
OverviewSchemaSourceRelated ServersDiscussionsAdmin
Python
Hybrid

Related Servers

Alternatives to Trainerize MCP Server

No user-submitted related servers found.

    Related Servers

    • GeniusFitness MCP

      PulsarInteractive
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI agents to access and manage fitness programs, exercise catalog, workout resources, activity metrics, journaled plan edits, and change tracking through authenticated tools.
      51 npm
      MIT

    • Caliverse MCP

      somaticbits
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to plan, build, and log calisthenics workouts in a user's own account, including searching exercises, managing custom workouts and plans, reading progress and coaching data, and logging completed sessions. Account mutations require explicit confirmation, and workouts can be displayed as interactive cards in the chat.
      MIT

    • Phorme Training

      nicksgoat
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables AI assistants to find coach-built training programs, coaching brains, races, gyms, classes and sports clinics, preview and build workouts with exercise demos, swap exercises, and plan around a sport or race. With OAuth it can also save workouts and programs, send coach notes to members, and read a member's logged history, planned sessions and lift progress.
      MIT

    • OpenGym Coach

      AlexCCGit
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables ChatGPT to manage fitness routines, guided sessions, workout history, body weight tracking, and statistics through a remote authenticated MCP server with read and write tools.
      AGPL 3.0

    • Gymmy MCP server

      zdeadex
      A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to find gyms and studios, check schedules and prices, start trial classes, and, after OAuth sign-in, view, book, or cancel classes with a membership. Public tools require no account, while member tools enforce each gym's booking rules and never pass payment data to the assistant.
      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

    A3.8/5.0

    Scored across 7 tools

    Disambiguation4/5

    Each tool maps to a distinct browser-automation action (open, read, click, type, close) plus two informational tools. The only mild overlap is between trainerize_guide and trainerize_status, since both are 'call early' prerequisites, which could leave an agent briefly unsure which to invoke first.

    Naming Consistency5/5

    All seven tools use a uniform trainerize_<verb> or trainerize_<noun> snake_case convention with short, unambiguous names. The pattern is fully predictable across the set.

    Tool Count5/5

    Seven tools is well-scoped for a browser-driving server: a core action loop (open/read/click/type/close) plus onboarding and credential checks. No tool appears redundant or padding the surface.

    Completeness4/5

    The session lifecycle is fully covered from setup through read/act to teardown. Minor gaps remain for common browser needs such as explicit navigation to an arbitrary URL, scrolling long pages, and selecting dropdown options, which agents may have to work around via click/type.

    Maintenance

    ActivityMaintained
    ResponsivenessNo recent community issues

    Resources