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.
🩸 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
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.
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.
# 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.
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.
| 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.
Agents surface BOTH so the user picks the one that fits their context.
| 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.
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.
DEXCOM_ACCESS_TOKEN / LIBRELINKUP_* stay in env vars; the LibreLink Up auth token is never returned in tool output.mock: true until a provider is configured.Run wellness-cgm-mcp doctor to inspect.
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.