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MCP E-commerce Load Server

@brazeiro63

Repository

Basic information

Category

Other

Transports

stdio

Author

brazeiro63

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

1

What are the runtime requirements?

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

2

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.

3

Is human curation mandatory?

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

4

What external APIs does it use?

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

5

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`.

Comments

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