Meals in plain language
Say “oatmeal with banana and peanut butter” — your AI estimates calories and macros, fiber, total sugar and caffeine included, and logs it. No database search.
Yazio alternative
Looking for a Yazio MCP server?
Yazio 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
No, Yazio has no MCP server.
The Model Context Protocol (MCP) is the open standard that lets AI assistants like Claude and ChatGPT connect to outside tools. Yazio doesn't publish an MCP server, so there's no official way to log food to it from your AI. If you searched for “Yazio MCP” or “connect Yazio 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
The same tracking, just by talking
Barcode scanning — free
Send a product barcode and pull the label macros from Open Food Facts — fiber and sugar too, where the label lists them. No Premium subscription to unlock it.
Weight & goals
Log body weight in kg or lb, set calorie, macro, fiber, sugar, caffeine, and water goals — fiber a target to reach, sugar and caffeine limits to stay under — and track trends toward a goal weight. Alcohol tracking is there too, opt-in and off unless you turn it on.
Summaries & trends
Ask for daily totals, weekly trends, streaks, and recurring meal patterns — right in the chat.
Import & own your data
Import your history from another app's CSV export — parsed in your browser, not by the AI. Export it all back out, or delete your account, whenever you want.
Open source & free
MIT-licensed and self-hostable — no ads, no paywall, no upsell. Audit the code or run your own instance.
Yazio vs. Nutrition MCP
How they stack up
Yazio
- No MCP server — can't run inside Claude or ChatGPT
- Search the database for each food you log
- Some features, like meal plans, need a paid PRO plan
- A separate app and account to manage
Nutrition MCP
- Built as an MCP server — lives inside Claude & ChatGPT
- Describe meals in plain language; calories, macros, fiber, sugar & caffeine estimated for you
- Barcode scanning, trends, CSV import & export — all free
- No separate app, no ads, open source
Yazio is a polished tracker with good meal plans. Nutrition MCP focuses on effortless conversational logging that lives inside Claude or ChatGPT — free and open source.
Moving from Yazio
Plans on one side, logging on the other
Yazio pairs tracking with structured meal plans, recipes, and fasting tools, polished for a European audience. If a guided plan is what keeps you on track, Yazio does that well and Nutrition MCP doesn't try to — it isn't a meal-plan app.
What it does do is make the logging half effortless. Instead of searching Yazio's database for each ingredient, you describe the dish and your AI handles the macros — then answers “how am I doing today?” in the same breath. Pair it with whatever eating plan you already follow.
This actually makes the two complementary rather than competing. Keep following a Yazio plan, or any plan, for the “what to eat” side; use Nutrition MCP for the “did I stay on track” side, logged by conversation and free. The one place it won't help is fasting timers — that's Yazio's territory, not a nutrition log's.
Your Yazio history
Bring the log, map the columns
Ask to import and an importer opens right in the chat: pick your export, map the columns, preview what will be added, then confirm. The file is read in your browser — the AI never sees the rows. In clients without in-chat panels, paste your export instead.
Your Yazio history can come across, though you'll do a little of the work. Ask to import and an importer panel opens in the chat: you pick your CSV export, it's parsed in your browser, and you point its columns at date, food, meal, calories, protein, carbs, fat, fiber, total sugar, and caffeine yourself. Four apps' exports — MyFitnessPal, Cronometer, Lose It!, and MacroFactor — are recognised by their column names; Yazio isn't one of them, so expect to set that mapping once. Everything after it is the same: a preview of what will be added, then your confirmation.
The European quirks that defeat most importers are handled. A semicolon-delimited file whose numbers use comma decimals — the shape Excel produces in a German or Austrian locale — is read correctly, instead of the delimiter being mistaken for a decimal point or every macro being scaled by a thousand. The headings the mapper knows aren't English-only either: a German export's Datum, Kalorien, Eiweiss, Kohlenhydrate, Ballaststoffe, Zucker and Koffein are all recognised, and fiber, sugar and caffeine are matched in Spanish, French, Italian and Dutch as well — fibra, sucres, zuccheri, suikers, cafeína, caffeina — so a localised file often arrives part-mapped, leaving you fewer columns to set by hand. Quoted fields, line breaks inside a cell, blank-ish values, and stray totals rows are handled too, and the AI never reads the file, so no number can be mistyped in transit.
Dates and energy are confirmed rather than guessed. A DD/MM/YYYY column is read day-first, and where the values genuinely can't settle it — 05/06 being either May or June — the importer shows its reading beside a row from your own file so you can correct it. If the energy column is in kilojoules it's converted to kilocalories, with the unit shown as a control next to a worked example. Re-importing the same file adds nothing: each row carries a content fingerprint, so repeats come back as already logged.
How to switch
Connect in under a minute
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.
- Open Claude (web or desktop) and click Customize → Connectors.
- Click +, then Add custom connector, and give it a name like Nutrition.
-
Paste
https://your-domain.com/mcpinto the Remote MCP server URL field and click Add. - Click Connect, sign in, and start logging by saying what you ate.
Using ChatGPT or another client instead? The full install guide covers ChatGPT, Cursor, VS Code, Claude Code, and more.
FAQ
Yazio & MCP questions
Does Yazio have an MCP server?
No. Yazio 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.
How do I connect Yazio to Claude?
There is no official Yazio connector for Claude, because Yazio has no MCP server or public MCP integration. The closest option is Nutrition MCP, a free MCP server: add https://your-domain.com/mcp as a custom connector in Claude, sign in, and start logging by conversation.
Does Nutrition MCP include meal plans like Yazio PRO?
No. Yazio's structured meal plans, recipes, and fasting tools are its strength, and Nutrition MCP doesn't try to replace them — it handles the logging half. Many people keep following their Yazio (or any) plan and simply log against it here for free.
Can I log meals faster than searching Yazio's database?
Usually, yes. Rather than searching Yazio's database for each ingredient and setting portions, you describe the finished dish once — “a bowl of muesli with yogurt and berries” — and your AI estimates and logs the macros in a single step.
Is Nutrition MCP a good Yazio alternative?
If you want to track calories, macros — fiber, total sugar, and caffeine included — 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.
Can I import my Yazio data?
Yes, using manual column mapping. Ask to import and an importer opens in the chat: you pick your Yazio CSV export, it's parsed in your browser rather than read by the AI, and you point its columns at date, food, meal, calories, and macros — fiber, total sugar and caffeine among them — yourself. Yazio isn't one of the four exports recognised by column name, so that mapping is a one-time manual step, though headings the mapper already knows (in German, and for fiber, sugar and caffeine in Spanish, French, Italian and Dutch too) fill themselves in. Semicolon-delimited European files with comma decimals, DD/MM/YYYY dates, and kilojoules are all handled, and re-importing the same file never creates duplicates. In clients without in-chat panels you can paste your export instead.
Does the AI read my export file when I import?
Not when the importer opens. It parses the CSV in your browser and shows you what will be added before anything is written: how many meals, the calorie total, anything it had to flag, and the rows themselves — a long file lists the first of them plus a count of the rest rather than every line. Only the rows you confirm are sent, and they go as structured data rather than through the AI's reply, so no row can be mistyped or invented in transit. Each row also carries a content fingerprint, so running the same file again reports those meals as already logged instead of duplicating them. If your client can't display in-chat panels, the fallback is to paste the export — the AI does read it on that path, so prefer the importer when you have the choice.
Is Nutrition MCP free?
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.
Track nutrition inside the AI you already use.
Free and open source — no Yazio account, no app to open.