- Bazos MCP Server
Bazos MCP Server
A TypeScript-based MCP server for scraping graphics card listings from Bazos.cz marketplace
Content
Bazos MCP Server
A Model Context Protocol (MCP) server that provides real-time graphics card listings from Bazos.cz marketplace. This server enables AI assistants to search and retrieve current graphics card listings through a standardized interface.
Features
- Real-time scraping of graphics card listings from pc.bazos.cz/graficka/
- Returns structured data including:
- Title
- Price
- Location
- URL
- Image URL
- Description
- Integration with Claude and other MCP-compatible AI assistants
- Clean TypeScript implementation
- Implemented using @modelcontextprotocol/sdk
Installation
# Clone the repository
git clone https://github.com/progresak/bazos-mcp-server.git
# Install dependencies
npm install
Usage
Build and start the MCP server:
# Build the TypeScript code
npm run build
# Start the server
npm start
For development with automatic recompilation:
npm run dev
Integration with Claude and other AI Assistants
This server can be used with any MCP-compatible LLM interface, including Claude Desktop. The server provides the following tool:
search-graphics-cards: Search for real graphics card listings on Bazos.cz- Parameters:
query(required): Filter listings by this search term (e.g., "RTX 4090", "RTX 4070")
- Parameters:
MCP Server Configuration
Add this server to your MCP configuration:
{
"mcpServers": {
"bazos": {
"command": "node",
"args": ["/path-to-this-repository/bazos-mcp-server/dist/index.js"]
}
}
}
Implementation Details
The server works by:
- Receiving a search query via the MCP interface
- Constructing the appropriate Bazos.cz search URL
- Scraping the HTML using cheerio
- Parsing listing information (title, price, location, URLs)
- Returning structured data to the client
Project Structure
src/index.ts- Main MCP server implementationsrc/bazos.ts- Scraping functionality for Bazos.cz
Dependencies
@modelcontextprotocol/sdk: For MCP server implementationcheerio: For HTML parsing and data extraction
Contributing
Contributions are welcome! Please feel free to submit a Pull Request.
License
MIT License - see the LICENSE file for details
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