Nutrition MCP

Nutrition MCP

A filesystem-based MCP server that turns any MCP-capable AI agent into a conversational calorie and protein tracker with natural-language estimates, confidence-aware logging, daily/weekly progress, food-history search, and export, working offline with local fallback data.

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Nutrition MCP

A filesystem-based MCP server that turns any MCP-capable AI agent into a conversational calorie and protein tracker: natural-language estimates, confidence-aware logging, daily/weekly progress, food-history search, and export. Works offline with local fallback data — no API keys required.

Quickstart

The server runs straight from GitHub via npx — no clone, no manual build (it self-builds on first fetch). You only need Node.js ≥ 20.

The one command every agent uses:

npx -y github:ronkommoji/nutrition-mcp

Pick your agent:

Agent Guide
Hermes Agent docs/install/hermes.md
Claude Code docs/install/claude.md
Codex docs/install/codex.md
Cursor / Windsurf / Claude Desktop / other docs/install/generic-mcp.md

Claude Code users can install tools and the skill in one step:

/plugin marketplace add ronkommoji/nutrition-mcp
/plugin install nutrition-mcp

What's included

  • MCP server — 8 tools + 2 resources (below).
  • Skillskills/nutrition-tracking/SKILL.md: the estimate → confirm → log policy that makes the tools behave well. Auto-loaded by the Claude plugin; paste into system instructions / AGENTS.md for other agents.

Tools

  • setup_profile — create a user profile.
  • update_profile — update goals, weight, goal type, or timezone.
  • log_food — store a confirmed meal.
  • undo_last_log — remove the most recent entry.
  • get_daily_status — current day progress.
  • get_weekly_summary — weekly averages and tracked-day metrics.
  • search_food_history — search previous meals.
  • export_logs — export logs as JSON or CSV.

Resources

  • nutrition://user_profile
  • nutrition://daily_summary

Logging policy

The agent estimates calories and protein itself (its own knowledge plus web search), shows its assumptions, and logs only after the user confirms. log_food refuses any entry without userConfirmed: true.

Storage

Data is stored under ~/.nutrition-mcp/ by default (profile.json, logs/, weekly/, cache/, settings.json). Override with NUTRITION_MCP_HOME.

No API keys

There are none. The agent's own model estimates calories and protein (its knowledge plus web search), and the server only stores and reports them. The single optional setting is NUTRITION_MCP_HOME (storage location, default ~/.nutrition-mcp).

Local development

npm install
npm run build   # or: npm run dev   (tsx watch)
npm start

License

MIT

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