About
Provides a Model Context Protocol server that enables LLMs like Claude to interact with Prom.ua’s e‑commerce API. It supports CRUD operations on products, order status updates, and retrieval of product lists, orders, and categories via simple HTTP endpoints.
Capabilities
Overview
The MCP Server Prom.ua is a dedicated Model Context Protocol (MCP) server that bridges AI assistants—such as Claude—with the e‑commerce platform Prom.ua. By exposing a set of well‑structured tools that mirror the native Prom.ua REST API, it enables assistants to read and manipulate product catalogs, manage orders, and handle categories directly from within conversational workflows. This eliminates the need for manual API calls or custom integrations, allowing developers to prototype and deploy data‑driven interactions with minimal overhead.
At its core, the server offers a comprehensive CRUD interface for products and orders. Users can retrieve a full list of items, fetch detailed information on a specific product, create new listings, update existing ones, or delete them outright. Similarly, the order tools allow assistants to list all orders, drill down into individual order details, and update shipping or payment status. A category endpoint rounds out the feature set by providing a hierarchical view of product groups. All these capabilities are wrapped in simple GET, POST, PUT, and DELETE HTTP methods that the MCP client can invoke as natural language commands.
For developers building AI‑enhanced storefronts, this server provides a plug‑and‑play gateway. Once the Prom.ua API key and base URL are configured—either through environment variables or a file—the MCP server can be launched locally, via Docker, or even as a global npm package. Integration with Claude Desktop is straightforward: a single configuration block registers the server, after which Claude can call tools like or in a conversational context. This tight coupling lets developers create assistants that can, for example, automatically adjust inventory levels when a new order arrives or generate product recommendations based on current catalog data.
Real‑world use cases abound. A small business owner might ask their AI assistant to “show me all products below $20” and receive an instant, up‑to‑date list pulled directly from Prom.ua. A customer support bot could update an order’s shipping status after a user confirms the change, all without leaving the chat interface. Marketing teams could program their assistants to create promotional listings or batch‑update product attributes in response to seasonal campaigns. Because the server translates natural language into precise API calls, non‑technical stakeholders can interact with complex e‑commerce data through simple conversational prompts.
What sets this MCP server apart is its focus on completeness and ease of deployment. The toolset covers every common operation required to manage a Prom.ua shop, eliminating the need for separate scripts or third‑party middleware. Its Docker support ensures consistent environments across development, staging, and production. Moreover, by adhering strictly to MCP conventions, it guarantees seamless compatibility with any LLM client that understands the protocol, making it a versatile addition to modern AI‑powered commerce workflows.
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