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Nutrition MCP | Plorik

Nutrition MCP dashboard and user interface - Track meals and macros through conversation with Claude or ChatGPT.

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Nutrition MCP

Health & Wellness

Revenue: <$100k ARR

Track meals and macros through conversation with Claude or ChatGPT.

Overview

Nutrition MCP is an open-source Model Context Protocol server that enables users to track meals, macros, and weight through natural conversations with AI assistants like Claude or ChatGPT. Instead of navigating traditional food logging applications, users can describe meals in plain language, send photos, upload delivery app screenshots, or scan barcodes. The platform automatically estimates nutritional values, logs data, and provides comprehensive reports on daily and weekly health trends.

Founded year: 2026

Founder: Anton Kutishevskyi

Team size: 1

Popularity: 5,000+ active users

HQ: Ukraine

Status: Active

Funding status: Bootstrapped

Customer type: B2C

Pricing: Free (Open Source)

Tech stack: Model Context Protocol, Python, AI APIs, OAuth 2.0

Platform: Web • iOS • Android

Integrations: Claude, ChatGPT, iOS, Android, Web Browsers

What it does

Logs meals, calories, and macronutrients automatically via plain language conversation with connected AI assistants.
Processes uploaded food photos, delivery app screenshots, and product barcodes to instantly estimate nutritional data.
Tracks daily water consumption, body weight history, and user-defined fitness goals in real time.
Generates comprehensive daily and weekly nutrition trend reports with complete CSV data export support.

Who it's for

Health-Conscious Individuals
Fitness Enthusiasts
Diet Tracking Users
AI Power Users

Why it works

Leverages the Model Context Protocol to embed tracking natively inside existing AI clients like Claude or ChatGPT.
Eliminates manual database searching by interpreting unstructured plain language and food photographs seamlessly.
Provides a completely free and open-source platform architecture with full user data ownership and CSV exports.
Supports cross-platform compatibility across web, iOS, and Android devices through standard remote MCP connections.

Founder story

Nutrition MCP was developed by Anton Kutishevskyi in 2026 as an open-source solution to streamline dietary tracking. Headquartered in Ukraine, the project was built to replace tedious manual food logging apps by connecting nutrition management directly with advanced conversational AI assistants.

Alternatives

Comparison overview

Nutrition MCP connects directly as an open-source remote MCP server to let users log meals via natural conversation inside Claude or ChatGPT, whereas traditional nutrition apps require standalone mobile applications with manual database item searches.

Social links

Website