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MCP - MCP for Commerce Platforms - Universal E-commerce Customer…

@slavpilus

代码仓库

基本信息

分类

AI 与智能体

许可证

MIT license

传输方式

stdio

作者

slavpilus

关于 MCP - MCP for Commerce Platforms - Universal E-commerce Customer Support Assistant

MCP for Commerce Platforms

#e-commerce#customer-support-ai#mcp-server

MCP - MCP for Commerce Platforms - Universal E-commerce Customer Support Assistant 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-slavpilus": {
      "command": "python",
      "args": [
        "-m",
        "venv",
        "venv"
      ]
    }
  }
}

MCP - MCP for Commerce Platforms - Universal E-commerce Customer Support Assistant 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

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 - MCP for Commerce Platforms - Universal E-commerce Customer Support Assistant?

It is a platform-agnostic customer support assistant that connects to any e-commerce platform through pluggable strategies, using the MCP (Model Context Protocol) server and Gradio for the user interface. It is built for developers and support teams who need a single conversational interface to manage orders, returns, and cancellations across multiple e‑commerce backends.

How to use 🛍️ MCP - MCP for Commerce Platforms - Universal E-commerce Customer Support Assistant?

Clone the repository, run the setup script (scripts/setup_dev.sh) or manually create a virtual environment, install dependencies from requirements-dev.txt, copy .env.example to .env and configure it, then run python app.py. The application will be available at http://localhost:7860.

Key features of 🛍️ MCP - MCP for Commerce Platforms - Universal E-commerce Customer Support Assistant

  • Order management: track orders, check status, view history
  • Returns and refunds: initiate returns, process refunds
  • Order cancellations: quick and easy cancellations
  • Conversational interface using natural language
  • Platform-agnostic, extensible via a strategy pattern
  • Auto‑deployment to Hugging Face Spaces

Use cases of 🛍️ MCP - MCP for Commerce Platforms - Universal E-commerce Customer Support Assistant

  • A single customer‑facing chat that handles orders from Shopify, Magento, WooCommerce, and other platforms
  • Integrating a conversational support assistant into an existing multi‑platform e‑commerce operation
  • Rapidly prototyping customer support for a new e‑commerce store using mock data
  • Deploying a self‑hosted support assistant to Hugging Face Spaces for internal testing

常见问题

1

Which e‑commerce platforms are supported out of the box?

The README lists MockData, Shopify, Magento, and WooCommerce as platform strategies, and the architecture is extensible to any platform via the strategy interface.

2

What are the runtime requirements?

Python 3.10 or higher, Git, and a virtual environment tool (venv) are required. All dependencies are listed in `requirements-dev.txt`.

3

How do I run the application locally after installation?

Execute `python app.py` from the project root. The Gradio interface will be available at `http://localhost:7860`.

4

How can I deploy the assistant to production?

The project is configured for automatic deployment to Hugging Face Spaces via GitHub Actions on pushes to the `main` branch, or manual deployment by adding the Spaces remote and pushing.

5

How do I add support for a new e‑commerce platform?

Create a new strategy class in `mcp_server/strategies/` that inherits from `EcommerceStrategy`, implement the required methods, add tests, and update the strategy factory.

评论

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