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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.

Related MCP server: Withings MCP

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 — 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 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 onlyDEXCOM_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

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.

A
license - permissive license
-
quality - not tested
B
maintenance

Maintenance

Maintainers
Response time
Release cycle
Releases (12mo)
Commit activity

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