A
licenseA
qualityF
maintenanceFind 5 explainable, personalized gift recommendations from inside any MCP client by reasoning about relationship, occasion, and context.
2
8 npm
MIT
Personal Agent Gift Curator & Social Graph Occasion Recommender
by alphaparkinc
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: wonderkraftz-mcp
🌟 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
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections.
Loading tool schema changelog…
Related MCP Connectors
On-brand AI image and video campaigns with persistent characters and products, from any MCP client.
Creative-intelligence MCP for campaign strategy, ad builds, QA, and reporting.
Connect e-commerce and marketing data to AI assistants via MCP.
Creative intelligence for Meta, TikTok, Google Ads and Amazon DSP, in Claude and other MCP clients.
Related MCP Servers
- AlicenseAqualityDmaintenanceAn MCP server that connects AI assistants to the Wonderkraftz Premium Gifting Studio, enabling product browsing, personalized gift recommendations, cart management, and checkout through natural language.1243 npmMIT
- FlicenseNot gradedqualityDmaintenanceRecommends gifts and drafts messages based on relationship, occasion, budget, and vibe.-
- FlicenseAqualityDmaintenanceThe rush-gift-mcp server helps users en route to an appointment find last-minute gift recommendations and pickup stores along their route, considering time constraints, budget, and relationship. It provides AI-driven planning tools that calculate detour feasibility and generate appropriate gift messages.4-