tymewear-mcp

tymewear-mcp

Connects Claude to Tyme Wear's breathing sensor platform to analyze ventilatory data, activities, thresholds, and training zones.

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README

Tyme Wear MCP Server

A Model Context Protocol server that connects Claude to the Tyme Wear breathing sensor platform. Analyze your ventilatory data, activities, thresholds, and training zones directly through Claude.

Built on the same architecture as trainingpeaks-mcp.

What is Tyme Wear?

Tyme Wear makes the VitalPro chest strap, a wearable breathing sensor that measures ventilatory metrics (breathing rate, tidal volume, minute ventilation) alongside heart rate. It uses ventilatory thresholds (VT1, VT2) to define personalized training zones. Used by Team Visma | Lease a Bike.

Features

  • 20 MCP tools for profile, activities, breathing data, VE thresholds, zone distributions, max values, and exports
  • Secure credential storage via system keyring (macOS Keychain / Windows Credential Manager) with AES-256-GCM encrypted file fallback
  • Auto-authentication with token caching and automatic re-auth on expiry
  • Smart breathing data with summary, window, and full modes to avoid context overflow

Quick Start

1. Install

git clone https://github.com/tkelkermans/tymewear-mcp.git
cd tymewear-mcp
python -m venv .venv
source .venv/bin/activate
pip install -e .

2. Authenticate

tymewear-mcp auth

Enter your Tyme Wear email and password. Credentials are stored securely in your system keyring with an encrypted file fallback.

3. Configure Claude Desktop

Add to your Claude Desktop config (~/Library/Application Support/Claude/claude_desktop_config.json on macOS):

{
  "mcpServers": {
    "tymewear": {
      "command": "/path/to/tymewear-mcp/.venv/bin/tymewear-mcp",
      "args": ["serve"]
    }
  }
}

Or run tymewear-mcp config to generate the snippet with the correct path.

4. Restart Claude Desktop

The Tyme Wear tools will appear in Claude's tool list.

CLI Commands

Command Description
tymewear-mcp auth Store Tyme Wear credentials (interactive or --email/--password)
tymewear-mcp auth-status Check if stored credentials are valid
tymewear-mcp auth-clear Remove stored credentials
tymewear-mcp config Output Claude Desktop config snippet
tymewear-mcp serve Start the MCP server (stdio transport)

Available Tools

Auth & Profile

Tool Description
tw_auth_status Check authentication status and token validity
tw_get_profile Get athlete profile: weight, height, VE targets (VT1, BP, VT2, VO2max) per sport, subscription status, external accounts
tw_update_profile Update profile fields (weight, height, units)

Activities

Tool Description
tw_get_activities List activities with cursor pagination, filter by sport type (1=run, 2=bike)
tw_get_activity Full activity detail: duration, thresholds, zones, TSS, firmware, third-party links
tw_get_activity_status Algorithm processing status for an activity
tw_pin_activity Pin/unpin an activity for threshold detection
tw_get_pinned_activity Get currently pinned activity
tw_delete_activity Delete an activity (irreversible)

Breathing Data

Tool Description
tw_get_processed_data Per-second breathing time-series with 3 modes: summary (aggregated stats — default), window (raw data for a time range), full (all records)
tw_get_new_processed_data New-format processed data (if available for the activity)

Thresholds & Zones

Tool Description
tw_get_ve_targets Current VE targets (VT1, BP, VT2, VO2max) per sport
tw_get_zone_distribution Zone time distribution across activities
tw_tag_threshold Tag a ventilatory threshold (vt1, vt2, bp, vo2max) from a specific activity
tw_tag_new_zone Tag a new-model zone value (fatmax, vt1, vt2, vo2max) from a specific activity

Max Values

Tool Description
tw_get_max_value_detections List pending max value detection notifications
tw_respond_max_value Accept or dismiss a detected max value

Exports

Tool Description
tw_export_csv Export activity as CSV
tw_export_csv_full Export full CSV with all data channels
tw_export_fit Export activity as FIT file

Example Prompts

Once configured, you can ask Claude things like:

  • "Show me my last 10 bike activities"
  • "Analyze the breathing data from my ride yesterday — what were my average VE and time in each zone?"
  • "What are my current VT1 and VT2 thresholds for cycling?"
  • "Export my last activity as a FIT file"
  • "Compare my VE targets between running and cycling"

Security

  • Credentials stored in system keyring (preferred) or AES-256-GCM encrypted file with PBKDF2 key derivation (600K iterations, machine-specific salt)
  • Tokens and credentials are never returned in MCP tool results (sanitized before reaching Claude)
  • Environment variable auth available for CI/containers: TYMEWEAR_EMAIL + TYMEWEAR_PASSWORD
  • File permissions set to 600 (owner read/write only) on encrypted credential files

Architecture

tymewear-mcp/
├── src/tymewear_mcp/
│   ├── cli.py              # CLI entry point
│   ├── server.py           # MCP server + 20 tool registrations
│   ├── auth/               # Credential storage (keyring → encrypted → env)
│   ├── client/             # Async HTTP client + Pydantic models
│   └── tools/              # Tool implementations
└── tests/                  # 53 tests

Tech stack: Python 3.10+, MCP SDK, httpx, Pydantic, keyring, cryptography

Development

pip install -e ".[dev]"
pytest tests/ -v          # Run tests
ruff check src/           # Lint
mypy src/                 # Type check

License

MIT

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