foodos-mcp

sebastianomarchesini/foodos-mcp
★ 0 stars TypeScript AI/LLM Updated 3d ago
MCP server for deterministic recipe and portion math: USDA-sourced macros, gram conversions, cooked yields and per-eater portions.
View on GitHub → 🔍 Audit Wallet Slippage →

Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "foodos-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "sebastianomarchesini/foodos-mcp"
      ]
    }
  }
}

README Excerpt

Turn recipes into **traceable nutrition numbers, cooked-weight calculations, and portions that fit each eater** — all through the Model Context Protocol (MCP). Your AI assistant handles the conversation. **foodos-mcp handles the math.** 🧮 LLMs can help you find dinner, but they can also guess gram weights, invent macros, or split a batch in half when everyone needs a different portion. This server makes those calculations deterministic and auditable, from the first ingredient to the last lunchbo

Tools (5)

FDC_API_KEYFDC_HOURLY_BUDGETFOODOS_CACHE_DIRFOODOS_CONTACTFOODOS_LOG_LEVEL

Topics

fdcmcpmeal-planningmodel-context-protocolnutritiontypescriptusda