product-ranking-agent 0.1.29

Agent name: Product Search & Ranking Agent (product-ranking-agent)

An MCP server that searches a synthetic product catalog and returns transparent, image-first product recommendations.

Key features

• Searches catalog products and ranks in-stock matches.
• Scores relevance using rating and historical campaign signals.
• Returns Product Insight cards with product images in compatible MCP clients.
• Explains ranking decisions and exposes inventory and campaign metrics.
• Includes a Codex skill for routing product-search requests to the right MCP tool.

Flow Chart

Prerequisites

• Python 3.11+
• pip — Python's package installer
• An MCP-compatible client, such as ChatGPT, to use the tools and visual result cards

Installation

1. Create and activate a mamba environment:

mamba create -n product-ranking python=3.11
mamba activate product-ranking

2. Install the published package from PyPI into the activated environment:

python3 -m pip install product-ranking-agent

Quick start

Start the server:

product-ranking-agent

Connect your MCP client to http://127.0.0.1:8000/mcp, then begin a new chat so it loads the current tools.

Skill Installation

Install the bundled Product Search Results skill into the current project:

product-search-install-skill

The command copies the skill to .codex/skills/product-search-results in that project.

To install it into a different project, provide that project's path:

product-search-install-skill --project /path/to/project

If that project already has this skill and you want to replace it, add --force.

Application example

Documentation

For setup, client configuration, tool details, deployment, packaging, and development, see the getting-started guide and the rest of the docs folder.

License and citation

This project is licensed under the MIT License. If you use this work in research or other published work, see CITATION.cff for the preferred citation.