intervals-icu-mcp
Connects Intervals.icu training and wellness data directly to Claude, enabling data-driven coaching decisions and performance trend analysis without manual d…
MCP server for Intervals.icu — training data, wellness metrics, and performance analysis for Claude and other LLMs
- Generate weekly training load summaries from athlete activity logs
- Identify fatigue patterns by correlating HRV and sleep metrics
- Analyze power curve progression across specific workout types
Connects Intervals.icu training and wellness data directly to Claude, enabling data-driven coaching decisions and performance trend analysis without manual data export.
Coaches, athletes, and training analysts who need to query structured training metrics, load, and recovery data programmatically within Claude conversations.
https://github.com/hhopke/intervals-icu-mcp
By hhopke
How to Get It
claude mcp add intervals-icu-mcp -- npx -y intervals-icu-mcp
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
Once it’s connected, paste this into Claude:
Help me generate weekly training load summaries from athlete activity logs
Trust Signals Auto-scanned
Data & Access
Community Pulse Growing
Discussed on Reddit
- I built a free MCP server that connects your fitness tracker to AI. And just add — Reddit · 4 pts
- Intervals.icu MCP Server – Connects Claude with the Intervals.icu API to retriev — Reddit · 3 pts
2 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 35 GitHub stars; 6 contributors; last commit 2d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 35 GitHub stars; 6 contributors; last commit 2d ago; license MIT.