# genpark-personal-agent-dynamic-grocery-pantry-auto-replenisher-skill

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> **Official Website**: [https://www.genpark.ai](https://www.genpark.ai)  
> **LinkedIn**: [https://www.linkedin.com/company/92955550](https://www.linkedin.com/company/92955550) ([https://www.llinkedin.com/company/92955550](https://www.llinkedin.com/company/92955550))

Personal Agent Autonomous Smart Pantry & Dietary Grocery Replenisher. Tracks household food consumption velocities, calculates expiration decay curves, enforces dietary filters (organic, gluten-free, low-sugar), and synthesizes optimized grocery carts.

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## 🌐 Official GenPark AI Ecosystem Links

- **GenPark Official Website**: [https://www.genpark.ai](https://www.genpark.ai)
- **LinkedIn Official Page**: [https://www.linkedin.com/company/92955550](https://www.linkedin.com/company/92955550) ([https://www.llinkedin.com/company/92955550](https://www.llinkedin.com/company/92955550))

---

## 🌟 Key Features

- **100% Zero External Dependencies**: Runs entirely on the Python 3.9+ standard library.
- **Model Context Protocol (MCP) Standard**: Native support for JSON-RPC 2.0 `initialize`, `tools/list`, and `tools/call`.
- **Industrial-Grade Determinism**: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.
- **Dual Deployment Ecosystem**: Verified across `alphaparkinc` and `Alpha-Park` organizations with multi-account validation.

---

## 🚀 Quick Start

### 1. Direct Python SDK Usage

```python
from client import PersonalAgentGroceryPantryAutoReplenisher

def main():
    agent = PersonalAgentGroceryPantryAutoReplenisher()
    pantry = [
        {"item_name": "Rolled Oats", "current_qty": 0.2, "daily_consumption_rate": 0.1, "days_until_expiration": 30, "estimated_unit_price_usd": 4.29},
        {"item_name": "Cold Brew Coffee", "current_qty": 0.3, "daily_consumption_rate": 0.3, "days_until_expiration": 4, "estimated_unit_price_usd": 6.99}
    ]
    res = agent.generate_replenishment_basket(pantry, {"weekly_budget_usd": 60.0, "organic_preference": False})
    print("--- Smart Pantry Auto-Replenishment ---")
    print(f"Total Cart: ${res['total_basket_cost_usd']} (Remaining: ${res['remaining_budget_usd']})")
    for it in res['cart_items']:
        print(f"* {it['item_name']} x{it['order_quantity']} (${it['total_cost_usd']}) - Reason: {it['urgency_reason']}")

if __name__ == "__main__":
    main()

```

### 2. Run as Model Context Protocol (MCP) Server

Start standard JSON-RPC 2.0 server over `stdio`:

```bash
python mcp_server.py
```

Execute embedded test harness:

```bash
python mcp_server.py --test
```

---

## 🛠️ MCP Tool Specification

Inspect [`skill.json`](skill.json) for parameter schemas and tool definitions compatible with Anthropic Claude, Meta Muse, and OpenAI Function Calling formats.

---

## 📜 License & Community

Licensed under the [MIT License](LICENSE). Copyright © 2026 [GenPark AI](https://www.genpark.ai).
Follow us on LinkedIn: [https://www.linkedin.com/company/92955550](https://www.linkedin.com/company/92955550) | [https://www.llinkedin.com/company/92955550](https://www.llinkedin.com/company/92955550)