Genpark Ad Spend Optimizer Skill

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GenPark AI Skill - Multi-channel ROAS tracking ad allocation optimizer

by alphaparkinc

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About

GenPark AI Skill - Multi-channel ROAS tracking ad allocation optimizer

README

genpark-ad-spend-optimizer-skill

GenPark AI Agent Skill -- Multi-channel ad performance optimizer.

Quick Start

from client import AdSpendOptimizerClient
client = AdSpendOptimizerClient()
res = client.optimize_budget({"google": {"roas": 5.0}, "meta": {"roas": 3.0}}, 10000)
print(res["allocated_budget"])

📊 Agentic Architecture Flowchart

graph LR
  User([User / AI Agent]) -->|JSON Request| Skill[GenPark AI Skill]
  Skill -->|Execution Logic| CoreEngine[Core Analytics & Processing]
  CoreEngine -->|Structured Output| User

🔌 MCP (Model Context Protocol) Integration

Run natively as an MCP server for Cursor, Claude Desktop & LLM frameworks:

python mcp_server.py

from github.com/alphaparkinc/genpark-ad-spend-optimizer-skill

Installing Genpark Ad Spend Optimizer Skill

This server has no published package — it is built from source. Open the repository and follow its README.

▸ github.com/alphaparkinc/genpark-ad-spend-optimizer-skill

FAQ

Is Genpark Ad Spend Optimizer Skill MCP free?

Yes, Genpark Ad Spend Optimizer Skill MCP is free — one-click install via Unyly at no cost.

Does Genpark Ad Spend Optimizer Skill need an API key?

No, Genpark Ad Spend Optimizer Skill runs without API keys or environment variables.

Is Genpark Ad Spend Optimizer Skill hosted or self-hosted?

Self-hosted: the server runs locally on your machine via the install command above.

How do I install Genpark Ad Spend Optimizer Skill in Claude Desktop, Claude Code or Cursor?

Open Genpark Ad Spend Optimizer Skill on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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