Analyze your CGM data with AI.

Ask your AI assistant about your glucose curves, time in range, and meal responses. SNAQ does the analysis and shares it through ChatGPT, Claude, Gemini, Mistral, or Perplexity.

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The SNAQ MCP server lets AI assistants analyze your continuous glucose monitor data through SNAQ. Instead of exporting spreadsheets, you ask in plain language and SNAQ explains your glucose curves, time in range, GMI, and how meals and habits move your numbers, from the assistant you already use.

Your glucose patterns, explained in plain language

SNAQ analyzes your CGM curves and surfaces the patterns hiding in your data, then your assistant explains them conversationally. Ask about time in range, GMI, overnight trends, or which meals tend to spike you.

What is my time in range trending toward?
Which meals spike me the most?
Find dawn-phenomenon patterns in my data.

Works with the CGM you already wear

SNAQ connects to Dexcom (G6, G7, Stelo), FreeStyle Libre (2, 3, Lingo), Eversense, and any sensor that shares data through Apple Health or Google Health Connect. Whatever you wear, the MCP brings that context to your assistant.

Every assistant

Works with the AI you already use.

ChatGPT

Ask ChatGPT to walk through your CGM patterns, time in range, and meal responses via SNAQ.

Claude

Use Claude with SNAQ to reflect on your glucose trends and what is driving them.

Gemini

Bring your CGM patterns into Gemini through SNAQ for clear, conversational analysis.

Mistral

Ask Mistral about your glucose curves and habits, backed by SNAQ's analysis.

Perplexity

Pair Perplexity with SNAQ to explore your CGM patterns and meal responses.

Join the waitlist

Be among the first to try it.

We'll roll out access in waves. Tell us which AI you use and what you'd ask SNAQ inside it.

Common questions.

Can ChatGPT analyze my CGM data?

Yes. Through the SNAQ MCP server, your assistant works with your CGM glucose curves and patterns and explains your trends, time in range, and meal responses in plain language. It works at the curve and pattern level rather than dumping every raw reading.

Which CGMs does it support?

Dexcom (G6, G7, Stelo), FreeStyle Libre (2, 3, Lingo), Eversense, and any sensor that shares data via Apple Health or Google Health Connect.

I use Loop, AndroidAPS, or Nightscout. Will this work?

Yes. Loop and AndroidAPS data flows into SNAQ, and you can connect your Nightscout server so your data syncs in. SNAQ works alongside your open-source setup; it does not replace it.

Do I need to export CSV files?

No. Once your CGM is connected to SNAQ, the analysis happens through SNAQ. You ask your assistant in plain language and skip the spreadsheets.