MCP E-commerce Load Server

@brazeiro63

关于 MCP E-commerce Load Server

暂无概览

#mcp-ecommerce #load-server #ecommerce

基本信息

分类

其他

运行时

python

传输方式

stdio

发布者

brazeiro63

配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

工具

未检测到工具

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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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