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Nutrition MCP
Track meals and macros through conversation with Claude or ChatGPT.
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.
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.
Category: Health & Wellness
Team Size: 1
Visit Website
As of 2026
Health & Wellness
Revenue: 0-$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.
Team size: 1
Popularity: 5,000+ active users
Funding status: Bootstrapped
Revenue source: Open Source / Free
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
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.
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.
Growth strategies
- Open- source repository distribution on GitHub and developer communities
- AI directory listings and tool aggregation platforms
- Organic social media sharing among AI and fitness enthusiasts
- Frictionless onboarding via remote MCP server connection
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.]