Wellness Cycle Coach

Menstrual cycle coach MCP for AI agents — now with PCOS-aware mode.
Built so AI finally serves the 50% of users agents have ignored — without ever storing cycle data.

🌙 Why this exists: Most AI agents treat the body as a single context-free unit. But energy, recovery, training tolerance, nutrient needs and even cognitive bandwidth shift across the menstrual cycle. wellness-cycle-coach gives any agent phase-aware guidance — and never stores cycle data to do it.

⚡ One-command install — pick your runtime:

• Delx Wellness for Hermes: npx -y delx-wellness-hermes setup
• Delx Wellness for OpenClaw: npx -y delx-wellness-openclaw setup

Overview

Pass in period start dates (from any source — Apple Health Cycle, Garmin women's health, Fitbit female health, or direct user input) and get back the user's current phase plus phase-aware recommendations for nutrition, training, and hydration. Stateless — the MCP itself never persists cycle data. Supports PCOS-aware mode via the cycle_irregular flag (v0.3.3) — accepts cycles 21-90 days, caps confidence at 'low', and returns a luteal_extended placeholder when standard 14-day-luteal math no longer applies.

Try It In 60 Seconds

npx -y wellness-cycle-coach doctor

# Or use the MCP directly via your client:
# {
#   "mcpServers": {
#     "wellness-cycle-coach": {
#       "command": "npx",
#       "args": ["-y", "wellness-cycle-coach"]
#     }
#   }
# }

Then in your agent:

{
  "name": "cycle_full_report",
  "arguments": {
    "history": [
      { "start_date": "2026-04-01" },
      { "start_date": "2026-04-29" }
    ]
  }
}

Returns current phase + nutrition emphasize/moderate/avoid + training style/intensity + hydration target + next-period estimate.

Tools (17)

... View full README on GitHub