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by Emirhankalafat • Analytics & Monitoring
An MCP server that connects a food / calorie tracker to Claude AI so users can add, list and summarize meals using natural language.
Add food entries to a user's meal log using natural language (e.g., "Had 200g chicken and salad for dinner").
Retrieve or list meals for a given date or meal type (e.g., "What did I have for breakfast yesterday?").
Generate calorie summaries and time-based nutrition reports (e.g., weekly or monthly calorie analysis).
Food-MCP exposes MCP tools for adding food entries, listing meals, and producing nutrition summaries while the backend provides JWT auth, a PostgreSQL database, and REST APIs. It enables Claude Desktop to call local MCP endpoints so users can manage daily meals, track calories and view analytics through natural language prompts. The project is aimed at developers who want a local MCP-enabled nutrition tracking service integrated with Claude AI for conversational data entry and reporting.
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