mcp-veggie

mcp-veggie

Enables tracking of weekly vegetable box deliveries, translating Danish produce names, providing USDA-sourced freshness data, generating zero-waste recipes, and alerting on expiring items.

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README

mcp-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. 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 that need attention
analyze_waste_risk Items at risk of going to waste
mark_item_used Mark an item as consumed
get_eating_order Priority list by perishability
get_freshness_status Full freshness report with storage tips
override_freshness Correct a freshness estimate from experience
set_box_url Configure the Aarstiderne box URL

Setup

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

Requires:

  • Node.js 20+
  • 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: 70-item USDA dataset + LLM fallback with conservative bias

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

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