SparkyFitness MCP Server

Example Use Cases

• 1

  Search existing foods to avoid duplicates before creating new entries.

• 2

  Create new food entries with detailed nutrition data extracted from images.

• 3

  Add multiple serving size variants to existing food items.

Description

This MCP server acts as an API translation layer enabling AI agents like Claude Chat to search, create, and manage food items with complete nutrition data in the SparkyFitness database. It supports multiple transport modes including stdio for local use and HTTP/SSE for remote deployment, facilitating seamless integration with AI agents that can extract nutrition data from images. The server is stateless and requires no local storage, ensuring a lightweight and efficient operation.