Personal Agent Gift Curator & Social Graph Occasion Recommender
by alphaparkinc
README.md
# genpark-personal-agent-gift-curator-social-graph-recommender-skill
[](https://www.genpark.ai)
[](https://www.linkedin.com/company/92955550)
[-success?style=for-the-badge)](https://www.genpark.ai)
[](https://www.genpark.ai)
[](LICENSE)
> **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 Gift Curator & Social Graph Occasion Recommender. Ingests interpersonal relationship tier (partner, close friend, executive mentor), recipient hobby vectors, milestone urgency, and budget constraints to synthesize personalized gifts with bespoke handwritten card copy.
---
## 🌐 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 PersonalAgentGiftCuratorRecommender
def main():
curator = PersonalAgentGiftCuratorRecommender()
rec = {"name": "Marcus", "relationship_tier": "MENTOR", "interests": ["writing", "coffee"]}
res = curator.curate_personalized_gift(rec, "Promotion", budget_limit_usd=120.0)
print("--- Personal Gift Curator ---")
print(f"Recipient: {res['recipient_name']} | Occasion: {res['occasion']}")
print(f"Gift: {res['selected_gift']} (${res['gift_price_usd']})")
print(f"Card Message:\n{res['bespoke_greeting_card_copy']}")
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)
This server cannot be deployed
Maintenance
ActivityMaintained
ResponsivenessNo issues