Wellness CGM MCP
Local-first CGM MCP for AI agents: Dexcom Developer API and FreeStyle Libre via LibreLink Up.
README
<!-- delx-wellness header v2 --> <h1 align="center">Wellness CGM MCP</h1>
<h3 align="center"> Local-first continuous glucose monitor MCP for AI agents.<br> Dexcom Developer API. <strong>Levels-killer pattern, agent-first, $0.</strong> </h3>
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<p align="center"> <strong>🩸 Why this exists:</strong> Levels charges $199/mo to do exactly this — read your CGM, correlate with meals, flag spikes. <code>wellness-cgm-mcp</code> is the same game as a free local-first MCP. Stelo OTC + Dexcom developer API + your agent + <code>wellness-nourish</code> = the full metabolic loop. </p>
⚡ 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
<!-- /delx-wellness header v2 -->
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)
| Tool | Purpose |
|---|---|
cgm_agent_manifest |
Runtime contract |
cgm_capabilities |
Providers, metrics, privacy modes |
cgm_connection_status |
env, credentials, mode (live vs mock) |
cgm_privacy_audit |
Local storage + outbound destinations |
cgm_data_inventory |
Metric catalog + TIR ranges + GMI formula |
cgm_glucose_now |
Most recent EGV + trend |
cgm_glucose_window |
All EGVs over last N hours |
cgm_daily_summary |
Mean / GMI / CV / 2 TIR profiles |
cgm_meal_response |
Baseline → peak → return + band |
cgm_authorize_url |
Dexcom OAuth URL builder |
cgm_hypo_events |
Hypo event detection (ADA Level 1 < 70, Level 2 < 54) — v0.3.3 |
cgm_libre_status |
FreeStyle Libre (LibreLink Up) config + region + mode — v0.4 |
cgm_libre_login |
Log 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 — callcgm_agent_manifestfor 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 baseline | Band |
|---|---|
| < 30 mg/dL | excellent |
| 30-49 | good |
| 50-79 | moderate |
| ≥ 80 | poor |
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: trueuntil 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.
<sub>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.</sub>
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