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Connect AI to Yazio for food logging, product search, and goal management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Yazio MCP Server" yet — see the docs or source repo.
Connect to my Yazio diary, log today's lunch: a bowl of chicken salad, one apple, and one unsweetened yogurt, then return a nutrition summary for this meal.
A new meal entry is added to Yazio, with a summary of calories and key nutrition values.
Search Yazio for 'high-protein yogurt' and list several matching products with their main nutrition data.
A list of matching products is returned with key nutrition details for easy logging.
Read my current Yazio nutrition goals, show my daily calorie and macro targets, and suggest adjustments if my protein target is too low.
Current goal data is returned along with practical suggestions for adjusting the targets.
People who want to log meals in natural language can use AI to write entries directly into Yazio instead of entering items manually. This makes daily food tracking faster and easier.
When users are unsure how a food is named in Yazio or which product entries exist, they can ask AI to search and organize the options. This helps them find the right item to log more quickly.
Users who need to review or manage calorie and nutrition goals can have AI read and explain their Yazio goal settings. This is useful for people tracking weight loss, muscle gain, or general diet habits.
It is an MCP server that connects AI assistants to your Yazio nutrition diary. It supports food logging, product search, and nutrition goal management.
The provided description says it interacts with Yazio through reverse-engineered endpoints. For exact connection and configuration details, see the source repository.
The available material does not provide installation steps, runtime requirements, or key setup details. Please see the source repository for prerequisites.
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