Bazos MCP Server – Real‑Time Graphics Card Market Intelligence

The Bazos MCP Server fills a niche that many AI developers face when they need up‑to‑date commodity data from an online marketplace. Traditional web scraping scripts run ad hoc and are difficult to expose to conversational agents, while generic data‑access APIs often lack the granularity or freshness required for price‑sensitive use cases. By exposing a single, well‑defined MCP endpoint (), this server gives Claude and other MCP‑compatible assistants instant access to the latest listings on Bazos.cz, a popular Czech classifieds platform.

What It Does

When an assistant receives a user query such as “Find me an RTX 4090 on sale,” it forwards the request to the MCP server. The server translates that query into a Bazos.cz search URL, scrapes the resulting page with cheerio, and extracts structured fields—title, price, location, URLs, image links, and a brief description. The data is then returned as JSON through the MCP protocol, allowing the assistant to present a concise, searchable list of current offers directly within the conversation. Because the server performs scraping on demand, it always reflects the most recent inventory without requiring manual updates.

Why It Matters for Developers

For developers building AI‑powered marketplaces, price monitoring tools, or recommendation systems, having a reliable source of real‑time listings is essential. The Bazos MCP Server removes the boilerplate of setting up a crawler, handling pagination, and normalizing disparate HTML structures. Instead, developers can focus on higher‑level logic—ranking offers by price per watt, filtering by location proximity, or integrating with inventory management workflows. The server’s TypeScript foundation ensures type safety and ease of maintenance, while the use of guarantees seamless integration with any MCP‑compatible client.

Key Features & Capabilities

• Real‑time scraping of the Bazos graphics card section (), guaranteeing fresh data for every query.
• Structured output: Each listing includes title, price, location, URLs, image link, and description—ready for display or further processing.
• Simple tool interface: The endpoint accepts a single parameter, making it trivial to embed in conversational flows.
• Cross‑platform compatibility: Works with Claude Desktop, other MCP‑compatible LLMs, and custom applications that consume the protocol.
• Extensible architecture: The clean separation of MCP logic () and scraping code () allows developers to add new marketplaces or modify parsing rules without touching the core server.

Real‑World Use Cases

• Price comparison assistants: Users can ask an AI for the best deals on a specific GPU model, and the assistant will return live listings from Bazos.cz.
• Inventory monitoring: Retailers or resellers can schedule periodic checks to stay ahead of market fluctuations.
• Consumer research tools: Hobbyists or gamers can track availability trends and negotiate directly through links provided by the assistant.
• Educational projects: Students learning about web scraping, APIs, and conversational AI can experiment with a live data source without dealing with authentication or rate limits.

Integration into AI Workflows

Once the server is running, adding it to an MCP configuration file simply involves pointing the and to the compiled JavaScript. The assistant then treats like any other built‑in tool: it can be invoked automatically, chained with other tools (e.g., a price‑analysis function), or exposed to end users via a UI. Because the MCP protocol handles request/response semantics and error handling, developers can rely on consistent behavior across different assistants.

Standout Advantages

• Zero maintenance for end users: The server runs continuously and updates listings on demand, eliminating the need for manual scraping scripts.
• Data fidelity: By parsing the actual HTML rather than relying on a third‑party API, the server captures every nuance of Bazos’s listings, including seller‑provided images and localized pricing.
• Open‑source simplicity: Built with a minimal dependency set ( and the MCP SDK), making it lightweight and easy to audit.

In summary, the Bazos MCP Server turns a niche Czech marketplace into a ready‑to‑consume data source for AI assistants, streamlining the path from raw listings to conversational insights and empowering developers with a powerful, extensible tool in their AI toolkit.