Meals in plain language
Say “oatmeal with banana and peanut butter” — your AI estimates calories and macros and logs it. No database search.
Cronometer alternative
Cronometer doesn't have one — so you can't use it inside Claude or ChatGPT. Nutrition MCP does the same job by conversation, and it's free and open source.
The short answer
The Model Context Protocol (MCP) is the open standard that lets AI assistants like Claude and ChatGPT connect to outside tools. Cronometer doesn't publish an MCP server, so there's no official way to log food to it from your AI. If you searched for “Cronometer MCP” or “connect Cronometer to Claude,” what you're really after is a nutrition tracker that lives inside your AI — that's exactly what Nutrition MCP is.
What you get instead
Say “oatmeal with banana and peanut butter” — your AI estimates calories and macros and logs it. No database search.
Send a product barcode and pull verified macros from Open Food Facts. No Premium subscription to unlock it.
Log body weight in kg or lb, set calorie, macro, and water targets, and track trends toward a goal weight.
Ask for daily totals, weekly trends, streaks, and recurring meal patterns — right in the chat.
Export everything to CSV anytime and delete your account and data whenever you want.
MIT-licensed and self-hostable — no ads, no paywall, no upsell. Audit the code or run your own instance.
Cronometer vs. Nutrition MCP
Cronometer is excellent if you want deep micronutrient precision. Nutrition MCP takes a lighter, conversational approach to calories, macros, and weight — right inside your AI.
Moving from Cronometer
Cronometer earned its reputation on precision — curated databases and tracking for 80+ micronutrients, vitamins and minerals included. If that micronutrient depth is why you open it, be honest with yourself: conversational estimates won't match a lab-grade database entry gram for gram.
But most people log to keep calories and the big three macros in range, not to audit their selenium intake. For that, describing a meal to your AI is far less work than searching for and weighing every component — and you still get daily totals, trends, and a target weight to track against, for free.
How to switch
Works with any MCP client that supports OAuth 2.0 with PKCE. On first connect you create an account with Google or an email and password.
https://nutrition-mcp.com/mcp
into the
Remote MCP server URL field and
click Add.
Using ChatGPT or another client instead? The full install guide covers ChatGPT, Cursor, VS Code, Claude Code, and more.
FAQ
No. Cronometer does not offer a Model Context Protocol (MCP) server, so there is no official way to connect it to Claude, ChatGPT, or other AI assistants. Nutrition MCP is a free, open-source alternative built as an MCP server from the ground up, so you can log meals and macros directly inside your AI.
There is no official Cronometer connector for Claude, because Cronometer has no MCP server or public MCP integration. The closest option is Nutrition MCP, a free MCP server: add https://nutrition-mcp.com/mcp as a custom connector in Claude, sign in, and start logging by conversation.
If you want to track calories, macros, water, and weight without opening a separate app or searching a food database, yes. Instead of tapping through a database, you describe what you ate in plain language, send a photo, or scan a barcode, and your AI logs it — completely free and open source.
There is no automatic Cronometer import yet. Because logging is conversational it is quick to start fresh, and you fully own your Nutrition MCP data — export everything to CSV or delete your account at any time.
Yes. Nutrition MCP is completely free with no premium tier, ads, or paywalled features — unlike apps that put some features behind a subscription. You only need a Claude or ChatGPT account to connect.
Free and open source — no Cronometer account, no app to open.
Cronometer is a trademark of its respective owner. Nutrition MCP is an independent, open-source project and is not affiliated with, endorsed by, or sponsored by Cronometer. Comparisons reflect publicly available information at the time of writing and may change.