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Wellness Cgm Mcp

davidmosiah/wellness-cgm-mcp
1STDIOregistry active
Summary

Plugs Dexcom Developer API and FreeStyle Libre (via LibreLink Up) into Claude as an MCP server. Exposes 19 tools for reading glucose values, calculating time-in-range stats, detecting hypo events, and analyzing meal response curves. Ships with synthetic mock data by default so you can prototype without credentials. When configured, it pulls live CGM readings and computes ADA-standard metrics like GMI, coefficient of variation, and two TIR profiles (diabetic 70-180 and metabolic health 70-140). The meal response tool is designed to pair with food logging MCPs to close the "what I ate and what happened" loop. Built as the free local alternative to $199/month subscription CGM coaching apps.

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Wellness CGM MCP

Local-first continuous glucose monitor MCP for AI agents.
Dexcom Developer API. Levels-killer pattern, agent-first, $0.

npm version npm downloads License MIT Site

GitHub stars Built for MCP Hermes OpenClaw

🩸 Why this exists: Levels charges $199/mo to do exactly this — read your CGM, correlate with meals, flag spikes. wellness-cgm-mcp is the same game as a free local-first MCP. Stelo OTC + Dexcom developer API + your agent + wellness-nourish = the full metabolic loop.

⚡ 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

Local MCP server that exposes CGM data (and synthetic mock data when nothing is configured) to any MCP-aware agent. Two real backends are supported: Dexcom (Developer API, sandbox + production) and FreeStyle Libre (the OTC sensor — Libre 2 / Libre 3) via LibreLink Up. Pick the backend with CGM_PROVIDER; it auto-detects Libre when only Libre credentials are set. Both feed the same ADA time-in-range / GMI / hypo / meal-response engine.

Try It In 60 Seconds (mock mode, zero setup)

npx -y wellness-cgm-mcp doctor       # see env / mode
npx -y wellness-cgm-mcp status

# In Claude Desktop / Cursor / etc., add:
# {
#   "mcpServers": {
#     "wellness-cgm": {
#       "command": "npx",
#       "args": ["-y", "wellness-cgm-mcp"]
#     }
#   }
# }

The agent now has 10 CGM tools. Without a Dexcom token, every tool returns synthetic readings tagged mock: true — perfect for prototyping.

Live setup (Dexcom Developer)

# 1. Sign up at https://developer.dexcom.com (sandbox is free)
# 2. Create an app, register your redirect URI
export DEXCOM_ENV=sandbox
export DEXCOM_CLIENT_ID=...
export DEXCOM_CLIENT_SECRET=...
export DEXCOM_REDIRECT_URI=https://your.callback/redirect

# 3. Get the OAuth URL, open it, grant access, copy the code from the redirect
npx -y wellness-cgm-mcp authorize

# 4. Swap code for tokens
npx -y wellness-cgm-mcp exchange <auth_code_from_redirect>

# 5. Set DEXCOM_ACCESS_TOKEN to the access_token, restart the MCP — flips from mock to live.

Live setup (FreeStyle Libre — the OTC sensor)

No developer program, no app to build — just the same email/password you use in the LibreLinkUp follower app (the OTC Libre 2 / Libre 3 sensor works). In the LibreLink app, share your readings; in the LibreLinkUp app, accept the invite. Then:

export CGM_PROVIDER=libre               # or just set the creds below and let it auto-detect
export LIBRELINKUP_EMAIL=you@example.com
export LIBRELINKUP_PASSWORD=...
# Optional: region shard if you're not on EU/global, and a pinned sensor:
export LIBRELINKUP_REGION=us            # eu (default) | us | de | fr | au | jp ...
# export LIBRELINKUP_PATIENT_ID=<id>    # only if you follow more than one sensor

# Verify credentials + list the sensor(s) you follow (never prints the token):
npx -y wellness-cgm-mcp libre-login

Once logged in, every glucose tool (cgm_glucose_now, cgm_daily_summary, cgm_time_in_range, cgm_meal_response, cgm_hypo_events, …) reads from Libre and returns the same ADA TIR / GMI / hypo / meal-response metrics — each response carries a provider field so you always know the source. Without any credentials, everything returns synthetic mock: true data.

Tools (19)

ToolPurpose
cgm_agent_manifestRuntime contract
cgm_capabilitiesProviders, metrics, privacy modes
cgm_connection_statusenv, credentials, mode (live vs mock)
cgm_privacy_auditLocal storage + outbound destinations
cgm_data_inventoryMetric catalog + TIR ranges + GMI formula
cgm_glucose_nowMost recent EGV + trend
cgm_glucose_windowAll EGVs over last N hours
cgm_daily_summaryMean / GMI / CV / 2 TIR profiles
cgm_meal_responseBaseline → peak → return + band
cgm_authorize_urlDexcom OAuth URL builder
cgm_hypo_eventsHypo event detection (ADA Level 1 < 70, Level 2 < 54) — v0.3.3
cgm_libre_statusFreeStyle Libre (LibreLink Up) config + region + mode — v0.4
cgm_libre_loginLog in to LibreLink Up + list followed sensors — v0.4

The table omits the shared profile/onboarding/quickstart/demo helpers (cgm_profile_get, cgm_profile_update, cgm_onboarding, cgm_quickstart, cgm_demo) for brevity — call cgm_agent_manifest for the full, always-current list.

Two Time-In-Range profiles in every summary

  • Diabetic (70-180 mg/dL) — ADA standard for adults with diabetes.
  • Metabolic health (70-140 mg/dL) — Levels-style for non-DM users.

Agents surface BOTH so the user picks the one that fits their context.

Meal response bands

Peak Δ from baselineBand
< 30 mg/dLexcellent
30-49good
50-79moderate
≥ 80poor

Combine with wellness-nourish to compute "what did I eat → what happened" automatically.

The killer combo

wellness-nourish: meal at 13:15 (rice + chicken)
       ↓
wellness-cgm-mcp.cgm_meal_response(meal_time)
       ↓
{ peak: 167, peak_delta: 72, band: "moderate", peak_time_minutes: 45 }
       ↓
whoop-mcp.recovery: 67%
       ↓
Agent: "That meal hit a moderate spike (peak +72 mg/dL at 45 min)
        AND recovery is borderline. Try protein-first next time, or
        swap white rice for lentils — should drop the peak ~30 mg/dL."

Levels charges $199/mo for this. Here it is, free, local-first, MCP.

Privacy

  • ✅ Credentials local only — DEXCOM_ACCESS_TOKEN / LIBRELINKUP_* stay in env vars; the LibreLink Up auth token is never returned in tool output.
  • ✅ Mock mode by default — every tool returns synthetic data with mock: true until a provider is configured.
  • ✅ No third-party telemetry — outbound calls go only to your CGM provider (Dexcom or, for Libre, Abbott's LibreLink Up API).

Run wellness-cgm-mcp doctor to inspect.

Roadmap

  • ✅ v0.4 — FreeStyle Libre via LibreLink Up (the OTC sensor). Shipped.
  • next — Refresh-token rotation. Per-meal historical browser (which foods spike YOU?). Threshold alerts (agent notified when glucose holds > X mg/dL for Y minutes). Cross-meal automation with wellness-nourish.

What this is NOT

  • Not medical advice or diagnosis.
  • Not for insulin/medication dosing decisions — defer to clinician.
  • Not affiliated with Dexcom or Abbott.

📧 Contact & Support

  • 📨 support@delx.ai — general questions, integration help, partnerships
  • 🐛 Bug reports / feature requests — GitHub Issues
  • 🐦 Updates — @delx369 on X
  • 🌐 Site — wellness.delx.ai

License

MIT — see LICENSE.

wellness-cgm-mcp is independent open-source software. Dexcom and FreeStyle Libre are trademarks of their respective owners. Neither company is affiliated with or endorses this project.

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Registryactive
Packagewellness-cgm-mcp
TransportSTDIO
UpdatedMay 29, 2026
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