Boostcamp MCP Server
Related Servers
Alternatives to Boostcamp MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseBqualityDmaintenanceIntegrates with the Boostcamp fitness platform to provide workout history, programs, exercises, and analytics via natural language.12MIT
- FlicenseNot gradedqualityCmaintenanceEnables Claude to read Hevy training data—workouts, routines, exercise templates, and history—and create or update routines through a self-hosted custom connector.53,090 npm-
- FlicenseAqualityDmaintenanceConnects Claude to your Strava fitness data, enabling natural language queries about your training history such as activities, stats, and routes.8-
- AlicenseNot gradedqualityDmaintenanceConnects your Whoop health data to Claude, enabling natural language queries about recovery, sleep, strain, and workouts.289 npmMIT
- FlicenseAqualityCmaintenanceEnables Claude to read your WHOOP health data including recovery, sleep, strain, and workouts through the official WHOOP API, so you can ask natural language questions about your fitness metrics.7-
- AlicenseBqualityDmaintenanceConnects Claude to the Strava API to provide direct access to fitness data, including athlete statistics, detailed activity logs, and time-series performance metrics. It enables users to analyze training progress, compare workouts, and retrieve specific segment details through natural language queries.843 npmISC
TDQS
Scored across 12 tools
Most tools have clear distinct purposes, but there is slight overlap between 'get_home_programs' (summary of active/recent programs) and 'list_enrolled_programs' (all enrolled programs), and between 'get_home_summary' and 'get_training_history' which both provide training data.
All tool names follow a consistent verb_noun pattern with snake_case: get_* for fetching single items, list_* for collections. No mixing of styles.
12 tools is an appropriate number for a fitness dashboard MCP server, covering home stats, programs, exercises, blogs, profile, and payment without being overwhelming or too sparse.
The tool surface covers read operations well for dashboard, programs, training history, and user data. Minor gaps exist (no write tools like create/update programs or exercises), but the server appears focused on data retrieval, which is reasonable.