A
licenseA
qualityF
maintenanceFind 5 explainable, personalized gift recommendations from inside any MCP client by reasoning about relationship, occasion, and context.
2
9 npm
MIT
Personal Agent Gift Curator & Social Graph Occasion Recommender
by Alpha-Park
This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
genpark-personal-agent-gift-curator-social-graph-recommender-skill
Official Website: https://www.genpark.ai
LinkedIn: https://www.linkedin.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
LinkedIn Official Page: https://www.linkedin.com/company/92955550 (https://www.llinkedin.com/company/92955550)
Related MCP server: Legacy Loop MCP Server
🌟 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, andtools/call.Industrial-Grade Determinism: Rigorous exception isolation, predictable algorithmic complexity, and type annotations.
Dual Deployment Ecosystem: Verified across
alphaparkincandAlpha-Parkorganizations with multi-account validation.
🚀 Quick Start
1. Direct Python SDK Usage
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:
python mcp_server.pyExecute embedded test harness:
python mcp_server.py --test🛠️ MCP Tool Specification
Inspect 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. Copyright © 2026 GenPark AI. Follow us on LinkedIn: https://www.linkedin.com/company/92955550 | https://www.llinkedin.com/company/92955550
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