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Umayrkaleem

Garmin Local MCP

by Umayrkaleem
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Python
Local

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Alternatives to Garmin Local MCP

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    Related Servers

    • garmin-mcp

      marcelohensantos
      F
      license
      Not graded
      quality
      D
      maintenance
      Exposes Garmin Connect data and workout management to AI agents, supporting tools, resources, and prompts for health data, workout creation, and coaching workflows.
      1
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    • wearable-mcp

      enzojunq
      A
      license
      Not graded
      quality
      B
      maintenance
      Enables an AI agent to read Garmin sleep, readiness and activity data, build an athlete profile, check proposed sessions against code-enforced limits and real calendar availability, and then push approved structured workouts to a Garmin watch. Plans are proposed and stored under a plan ID, so only explicitly approved sessions are ever written.
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    • garmin-mcp-bridge

      jonas-theobald
      A
      license
      A
      quality
      D
      maintenance
      Brings Garmin training data into Claude via Intervals.icu, enabling querying of activities, wellness, and planned workouts, as well as creating structured workouts that sync back to the Garmin watch.
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    • garmin-connect-mcp

      xcbbc21
      A
      license
      Not graded
      quality
      B
      maintenance
      Connects AI agents to Garmin Connect so they can read fitness data (activities, sleep, steps, heart rate, weight, workouts, profile) and schedule or manage Garmin Calendar workouts with an explicit confirmation flow.
      67 npm
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    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 5 tools

    Disambiguation5/5

    Each tool has a clearly distinct target: activities, workout definitions, scheduled workouts, workout preview/validation, and exercise catalog search. The two workout-listing tools are related but their descriptions make the distinction clear.

    Naming Consistency5/5

    All tool names use consistent snake_case verb_noun conventions: list_*, preview_*, and search_*. The pattern is predictable and easy to reason about.

    Tool Count5/5

    Five tools is a compact, well-scoped set for a local Garmin companion server. Each tool covers a distinct read or validation capability without excessive surface area.

    Completeness2/5

    The set only lists activities/workouts/schedules and previews workouts; it lacks tools to create, update, delete, or actually schedule/upload workouts despite implying changes to [AI] workouts. This leaves major lifecycle gaps for an agent trying to manage Garmin workouts.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues

    Resources