# IZeat [Health: Active]

**Category:** 🛠️ Other Tools and Integrations  
**Repository:** https://izeat.app/  
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**Directory Page:** https://allmcps.com/mcp/izeat

## Description
IZeat is the five-star chef calorie tracker inside ChatGPT and Claude: it suggests filling meals that fit what you have left, then logs what you ate in one sentence.

## Claude Desktop Quick Installation
No confirmed install details yet, so no config is published. Follow the setup steps in the repository above.

## Documentation

## What IZeat MCP server does

IZeat focuses on calorie tracking, meal suggestions, and food logging within ChatGPT and Claude. It considers what the user has left to eat and suggests filling meals intended to fit that remaining amount. After eating, the user can describe the food in one sentence and have it logged.

The available description positions IZeat as a conversational tool rather than a standalone meal database or a general-purpose nutrition platform. Its documented scope is limited to suggesting meals and recording what was eaten. No information is provided about nutrient breakdowns, exercise tracking, recipes, grocery lists, dietary restrictions, or connections to external health services.

## Tools and capabilities

The IZeat MCP server is described with two main capabilities:

- Suggest meals that fit the calories remaining for the user.
- Log consumed food from a one-sentence description.

These capabilities support a conversational workflow. A user can ask for a meal recommendation based on their remaining calories, then report what they ate without entering a structured food record.

## Limitations and notes

As a result, the IZeat MCP server’s installation process, transport type, required environment variables, authentication method, supported MCP clients, and configuration settings cannot be confirmed here.

The description confirms use with ChatGPT and Claude, but it does not specify whether those products require particular account types, extensions, or connection steps. It also does not explain how IZeat handles ambiguous food descriptions, corrections to previous logs, daily calorie targets, or meal history.

Use the IZeat MCP server when the required workflow is straightforward conversational calorie tracking: receive a meal suggestion that fits the remaining allowance, then record the meal in natural language. For implementation decisions involving deployment, security, data retention, or detailed nutrition accuracy, consult the project’s current documentation before proceeding.

_Full upstream README: https://allmcps.com/mcp/izeat/readme_