MCP E-commerce Load Server

@brazeiro63

Repository

Basic information

About MCP E-commerce Load Server

No overview available yet

#mcp-ecommerce#load-server#ecommerce

MCP E-commerce Load Server config

Add this server to your MCP-compatible client using the configuration below.

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

MCP E-commerce Load Server tools

Tool list not available yet

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We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

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

Frequently asked questions

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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