matheusfrote/mmm-intelligence-local

{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "mmm-intelligence-local",
  "version": "0.1.0",
  "description": "Local exploratory Marketing Mix Modeling with synthetic-data workflows and explicit scientific limits.",
  "author": {"name": "Matheus Frote"},
  "repository": "https://github.com/matheusfrote/mmm-intelligence-mcp",
  "license": "Apache-2.0",
  "extensions": {
    "com.openai": {
      "interface": {
        "displayName": "MMM Intelligence",
        "shortDescription": "Explore marketing models",
        "longDescription": "Generate synthetic data, inspect quality, fit exploratory marketing models, compare compatible evaluations, simulate conditional allocations and export reports. Runs locally with a separately installed Python environment. Does not modify advertising campaigns. The dashboard opens locally without a login; the separate HTTP MCP endpoint retains authentication.",
        "category": "Data & Analytics",
        "logo": "./assets/icon.svg",
        "composerIcon": "./assets/icon.svg",
        "brandColor": "#176653",
        "defaultPrompt": "Create a synthetic marketing dataset and explain its model's diagnostics and limitations."
      },
      "review": {
        "prompts": [
          "Create a synthetic dataset, check its quality and fit an exploratory marketing model.",
          "Compare two models of the same dataset on their common test dates and explain their limitations.",
          "Simulate a different budget allocation without changing real campaigns."
        ]
      },
      "publication": {
        "release_notes": "Local authoring package with the existing MCP server and an exploratory analysis workflow. Not submitted to the public directory."
      }
    }
  }
}