catence
Related Servers
Alternatives to catence
No user-submitted related servers found.
Related Servers
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- AlicenseNot gradedqualityAmaintenanceMCP 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.1MIT
- AlicenseBqualityAmaintenancePrivacy-first MCP server for Strava activities, streams, routes and training data.2996 npm3MIT
- AlicenseAqualityBmaintenanceMCP server for reading and querying Garmin Connect data, including activities, strength history, recovery, trends, and optionally creating workouts.12MIT
- AlicenseAqualityBmaintenanceMCP server that lets you ask questions about your Garmin training history in plain language. It ingests FIT files into DuckDB locally and exposes typed tools for analyzing activities, streams, and summaries.9MIT
- AlicenseAqualityDmaintenanceMCP server that exposes Garmin Connect health and activity data (steps, sleep, stress, activities, etc.) via tools for querying, analysis, and visualization.17Apache 2.0
TDQS
Scored across 35 tools
Most tools map cleanly to distinct resource/action pairs (e.g., describe_data vs describe_dataset, read_series vs aggregate_data). A few pairs like readiness_baseline/wellness_baselines and catence_status/catence_sync_progress could be confused, but their descriptions generally clarify the boundary.
The vast majority of tools follow a consistent snake_case verb_noun pattern like review_*, get_*, describe_*, and hydrate_*. Minor deviations such as activity_decoupling, wellness_correlate, and catence_status keep it from a perfect 5, but the overall naming is predictable.
At 35 tools, the surface is large and exceeds the 'too many' threshold for most agent-facing servers. Even for a broad athlete analytics domain, the selection burden is significant, and several related reporting tools could plausibly be consolidated.
The set covers the apparent athlete-analytics domain well: activity retrieval, series querying, statistical analysis, wellness metrics, cycling/swimming/running reports, sync control, and Strava enrichment. Minor gaps exist, such as no direct plan or nutrition detail tool despite search_context indexing those concepts, but core workflows generally resolve without dead ends.