Veggie

MCP server for tracking weekly Aarstiderne veggie box deliveries. Translates Danish produce names, provides USDA-sourced freshness windows, generates zero-waste recipes via local LLM, and alerts when items are about to expire.

Built for a family of 3 in Denmark (two adults, one texture-sensitive 7-year-old). Deployed on a K3s cluster alongside an Ollama instance.

Tools

Tool	Description
get_current_box	Fetch this week's box contents with translations, freshness data, and eating order
generate_recipes	Zero-waste recipes using current box items, with kid-friendly strategies
get_meal_plan	7-day structured plan scheduling perishable items first
check_alerts	Items nearing expiration with specific waste-rescue advice
analyze_waste_risk	Items at risk of going to waste with preservation suggestions
mark_item_used	Mark an item as consumed
get_eating_order	Priority list by perishability (with knowledge-base tiebreaker)
get_freshness_status	Full freshness report with storage tips and ethylene warnings
override_freshness	Correct a freshness estimate from experience
set_box_url	Configure the Aarstiderne box URL

Produce Knowledge Base

A 151-item knowledge base (src/seed/produce-knowledge.json) provides Denmark-specific produce intelligence loaded into memory at startup. Each entry includes:

• Danish season data — peak months, source (Danish farm vs import)
• Yield notes — practical quantities for meal planning ("500g carrots = 400ml soup base for 2")
• Preservation methods — 2-4 practical methods per item with effort level and shelf life
• Waste rescue — specific "it's going soft, do THIS now" advice per item
• Flavor pairings — what goes well together and what to avoid
• Kid strategy — acceptance level, texture notes, winning preparations, and hiding methods for a texture-sensitive child
• Ethylene data — producer/sensitive classification drives storage co-location warnings
• Box priority — days_to_use_first_in_box (1-3) used as eating-order tiebreaker

This data enriches LLM prompts for recipes and meal plans, powers waste-rescue suggestions in alerts, and provides ethylene storage warnings in freshness reports.

Setup

cp .env.example .env
# Edit .env with your Ollama host and box URL
npm install
npm run build
npm start

Requires:

• Node.js 22+
• Ollama running with qwen3.6:27b (or any model via LLM_MODEL env var)
• An Aarstiderne box subscription URL

Configuration

Variable	Default	Description
PORT	3006	HTTP server port
DB_PATH	./data/veggie.db	SQLite database path
LLM_BASE_URL	http://localhost:11434	Ollama API base URL
LLM_MODEL	qwen3.6:27b	Model for translations/recipes
LLM_TIMEOUT	120000	LLM request timeout (ms)

Architecture

• Transport: Streamable HTTP (MCP SDK 1.29.0) -- stateless per-request
• Database: SQLite with WAL mode, Drizzle ORM
• LLM: Ollama native API with think: false for fast structured output
• Provider: Aarstiderne BOM API (no auth required)
• Translation: Seed cache of 93 Danish produce names + LLM fallback
• Freshness: 151-item USDA dataset + LLM fallback with conservative bias
• Produce Knowledge: 151-item in-memory knowledge base with Danish-specific context, kid strategies, ethylene data, and preservation methods

K8s Deployment

kubectl apply -f k8s/

The deployment expects:

• A PVC named mcp-veggie-data for the SQLite file
• Ollama accessible at the LLM_BASE_URL in the configmap
• ghcr-creds imagePullSecret for the container image

Connecting via Hermes

Register the MCP server endpoint in your Hermes gateway configuration:

servers:
  - name: mcp-veggie
    url: http://mcp-veggie.mcp-veggie.svc.cluster.local:3006/mcp
    transport: streamable-http

License

MIT