MCP E-commerce Load Server

Name: MCP E-commerce Load Server
Author: brazeiro63

@brazeiro63

リポジトリ

MCP E-commerce Load Server について

概要はまだありません

#mcp-ecommerce #load-server #ecommerce

基本情報

カテゴリ

その他

ランタイム

python

トランスポート

stdio

公開者

brazeiro63

設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp_ecommerce_load_server": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is MCP E-commerce Load Server?

The MCP E-commerce Load Server is an integrated solution for discovering, validating, and registering affiliate stores and their products in an e-commerce system. It uses AI through the CrewAI framework to automate research, validation, and data prioritization processes.

How to use MCP E-commerce Load Server?

Clone the repository, install dependencies with pip install -e ., configure environment variables in .env, then run python main.py. The server supports full pipeline execution or selective modes using flags such as --only-discover (store discovery only) and --only-products (product collection only).

Key features of MCP E-commerce Load Server

Store discovery using Serper API
AI‑powered validation via CrewAI
PostgreSQL/SQLAlchemy for database storage
Product collection through Serper MCP Server
Intelligent product prioritization with CrewAI
Optional human curation via CSV/dashboard interface

Use cases of MCP E-commerce Load Server

Automatically discover and validate new affiliate stores
Collect and prioritize products from discovered stores
Manage the full e‑commerce data pipeline from discovery to database load
Enable human‑in‑the‑loop curation before final data insertion

FAQ from MCP E-commerce Load Server

What are the runtime requirements?

Python 3.12 or higher, PostgreSQL, and API keys for external services (OpenAI, Serper, etc.).

How can I run only part of the pipeline?

Use the command‑line flags --only-discover for store discovery or --only-products for product collection. Without flags the full pipeline runs.

Is human curation mandatory?

No, it is optional. The system provides a CSV/dashboard interface for manual review before the final database load.

What external APIs does it use?

The server uses the Serper API for store discovery and OpenAI (via CrewAI) for AI‑driven agents.

Does the server support selective pipeline execution?

Yes, you can execute discovery only, product collection only, or the complete pipeline by passing the appropriate flags when running main.py.

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