mcpField
W
wellness-cycle-coach

wellness-cycle-coach

Local
wellness.delx.aiHealth0Updated 2w ago

About wellness-cycle-coach

wellness-cycle-coach is an MCP server for AI agents that provides menstrual-cycle phase estimates and related nutrition, training, and hydration guidance. It computes from supplied history without retaining cycle dates, and includes a PCOS-aware mode.

Key features

  1. 01Cycle phase and confidence estimates
  2. 02Phase-based nutrition and training guidance
  3. 03Hydration targets and period estimates
  4. 04PCOS-aware irregular-cycle mode
  5. 05Cycle data is not persisted

Use cases

  1. 01Tailoring training to a cycle phase
  2. 02Planning phase-aware nutrition and hydration
  3. 03Estimating the next period from history

MCP support

Exposes cycle analysis and guidance tools to MCP clients over stdio or optional Streamable HTTP. Cycle history is passed in requests and is not persisted.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
"mcpServers": {
"davidmosiah-wellness-cycle-coach": {
"command": "npx",
"args": [
"-y",
"wellness-cycle-coach"
]
}
}
}
Run commandnpx -y wellness-cycle-coach

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmwellness-cycle-coach0.3.5

Tools

17

Saved tool list · updated 2w ago

ParameterTypeRequiredDescription
clientenumNoclaude | codex | cursor | windsurf | hermes | openclaw | generic

Details

From the project README

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.

npm version npm downloads License MIT Site

GitHub stars Built for MCP Hermes OpenClaw

🌙 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:


HTTP (v2 stateless)

Default is stdio. Optional Streamable HTTP — no session id, JSON responses, loopback only:

npx -y wellness-cycle-coach --http
# GET  http://127.0.0.1:3000/health
# POST http://127.0.0.1:3000/mcp   (sessionless)

Env: WELLNESS_CYCLE_COACH_HOST, WELLNESS_CYCLE_COACH_PORT, WELLNESS_CYCLE_COACH_TRANSPORT=http.

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)

ToolPurpose
cycle_agent_manifestRuntime contract
cycle_capabilitiesPhases, upstream connectors, metrics
cycle_connection_statusHealth + stateless reminder
cycle_privacy_auditWhat's logged (nothing) vs sent out (nothing)
cycle_data_inventoryPhase taxonomy + metric catalog
cycle_estimate_phaseCurrent phase + cycle day + confidence
cycle_predict_next_periodAverage cycle length + next-period date
cycle_phase_guidanceRecommendations for any specific phase
cycle_recommend_nutritionPhase-aware nutrition for current phase
cycle_recommend_trainingPhase-aware training for current phase
cycle_full_reportSingle-call combined report
cycle_irregular_checkPCOS / irregular-cycle screening from history
cycle_quickstartMinimal getting-started walkthrough
cycle_profile_getRead the shared Delx Wellness profile (read-only)
cycle_profile_updatePersist opt-in profile prefs (requires explicit user intent)
cycle_onboarding11-question onboarding flow for the shared profile
cycle_demoSample request/response for quick exploration

The 4-phase model

PhaseWhenEnergyNutrition emphasisTraining
menstrualdays 1 → period end (~5)LowerIron + magnesium + omega-3Restorative (yoga, walking, mobility)
follicularpost-period → ovulation - 2Rising / peakComplex carbs + lean protein + fermented foodsBuild (strength, sprints, new skills)
ovulatoryovulation ± 1 dayPeakAntioxidants + zincPeak (PRs, plyometrics)
lutealovulation + 2 → next periodFallingB vitamins + magnesium + complex carbsEndurance + technique

Why stateless?

Menstrual cycle data is medical-record sensitive. The strongest privacy guarantee is to never store it. Other apps (Flo, Clue) live by hoarding cycle data on their servers; this MCP refuses to participate. The agent passes data in, the coach returns guidance, the data evaporates.

Cross-connector wedge

Apple Health Cycle → period dates       ┐
Garmin women's health → cycle context   ├─→ wellness-cycle-coach → phase + guidance
Fitbit female health → period dates     ┘                                  │
                                                                            │
                                                                            ↓
                                                            wellness-nourish coach
                                                            (phase-aware meal planning)
                                                                            │
                                                            whoop-mcp / garminmcp / ouramcp
                                                            (recovery-aware late-luteal load adjustments)

Privacy

  • ✅ Stateless for cycle data — period dates are never persisted; they stay in process memory for the duration of the call and evaporate.
  • ✅ Opt-in local preferences — the cycle_profile_* tools can persist non-secret wellness preferences (name, goals, devices, training/nutrition context) to ~/.delx-wellness/profile.json, but only when the user explicitly asks (cycle_profile_update requires explicit_user_intent: true). Secrets (tokens, API keys, biomarkers) are rejected at write time.
  • ✅ Offline-capable — pure-function computation. No outbound calls.
  • ✅ Tool-arg-only cycle data — the agent passes period history in via the MCP request and it stays in process memory.

Run wellness-cycle-coach doctor to inspect.

What this is NOT

  • Not medical advice or diagnosis.
  • Not a fertility tracker or contraception aid (consult a clinician).
  • Not a replacement for talking to a healthcare provider about painful, abnormal, or absent periods.
  • PCOS / irregular cycles supported via cycle_irregular: true (v0.3.3), but this is NOT a substitute for clinical care — see clinician for fertility, contraception, or symptom-management decisions.
  • Not specialized for perimenopause or post-pill (yet — see CONTRIBUTING.md).

Roadmap

  • v0.2 — adapters for apple-health-mcp / garminmcp / fitbitmcp so agents can pull period history with one MCP call.
  • v0.3 — symptom logging surface + symptom-aware guidance adjustments (cramps → magnesium emphasis, mood drop → B-vitamin emphasis).
  • v0.4 — non-English locale support starting with pt-BR.

📧 Contact & Support

License

MIT — see LICENSE.

wellness-cycle-coach is independent research-software. Not affiliated with Clue, Flo, Stardust, or any other cycle-tracking app. Not medical advice.

Skill or MCP

Same package, two doors. MCP registers tools on stdio/HTTP. The skill can drive the same tools through the CLI when the client has no MCP:

npx -y wellness-cycle-coach call cycle_connection_status --json '{}'

Copy skill/SKILL.md into your agent skills dir.

Comments

Markdown supported

New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.