Bazos MCP Server: Real-Time Graphics Card Listings for AI Applications

Overview: What is Bazos MCP Server?

The Bazos MCP Server provides real-time graphics card listings from the Bazos.cz marketplace, enabling AI applications to search and retrieve current offerings through a standardized interface. This server seamlessly integrates with MCP-compatible AI assistants like Claude Desktop, Continue, Cursor, and others, allowing them to leverage data scraping techniques provided by Bazos.cz for their functionalities.

🔧 Core Features & MCP Capabilities

Bazos MCP Server offers several key features that enhance its utility and compatibility with AI applications:

• Real-Time Scrape: The server scrapes real-time graphics card listings from the Bazos.cz marketplace, ensuring up-to-date information is available.
• Structured Data: It returns structured data for each listing, including title, price, location, URL, image URL, and description. This structured format allows easy integration with various AI applications.
• Integration Capabilities: The server supports integration with a variety of MCP-compatible AI assistants, leveraging the Model Context Protocol to standardize interactions.

⚙️ MCP Architecture & Protocol Implementation

Bazos MCP Server is implemented using TypeScript and the @modelcontextprotocol/sdk package. Its architecture follows the MCP protocol flow diagram below:

graph TD
    A[AI Application] -->|MCP Client| B[Model Context Protocol]
    B --> C[Bazos MCP Server]
    C --> D[Data Source/Tool]
    style A fill:#e1f5fe
    style C fill:#f3e5f5
    style D fill:#e8f5e8

The server is designed to listen for queries from MCP clients and respond with relevant data, adhering to the MCP protocol standards.

🚀 Getting Started with Installation

To get started with Bazos MCP Server, follow these steps:

Prerequisites

• Node.js installed on your system.
• Basic understanding of TypeScript and MCP protocol.

Step-by-Step Instructions

1. Clone the repository:

   git clone https://github.com/progresak/bazos-mcp-server.git
   

2. Install dependencies:

   npm install
   

3. Build the TypeScript code:

   npm run build
   

4. Start the server:

   npm start
   

or for development with automatic recompilation:

npm run dev

💡 Key Use Cases in AI Workflows

Real-Time Data Synchronization

Bazos MCP Server can be used to provide real-time data synchronization capabilities to AI applications. For example, an e-commerce platform could integrate the server to update its inventory based on current graphics card prices and availability from Bazos.cz.

AI-Driven Market Analysis

AI applications using Bazos MCP Server can analyze market trends by querying past listings and cross-referencing them with user searches. This data can help in making informed decisions about pricing strategies, product offerings, or promotions.

🔌 Integration with MCP Clients

Bazos MCP Server supports integration with the following MCP clients:

• Claude Desktop: Fully supported for all features.
• Continue: Supports tool and resources but not prompts.
• Cursor: Supports tools but lacks full client functionality.

MCP Client Compatibility Matrix

MCP Client	Resources	Tools	Prompts
Claude Desktop	✅	✅	✅
Continue	✅	✅	❌
Cursor	✅	✅	❌

📊 Performance & Compatibility Matrix

Bazos MCP Server is built to handle high-frequency queries and maintain real-time data updates. It integrates seamlessly with popular AI clients, ensuring smooth compatibility and efficient data exchange.

Configuration Example

Below is an example of how to add Bazos MCP Server configuration in your project's mcp.json file:

{
  "mcpServers": {
    "bazos": {
      "command": "node",
      "args": ["/path-to-this-repository/bazos-mcp-server/dist/index.js"]
    }
  }
}

🛠️ Advanced Configuration & Security

Environment Variables

To configure the server, set environment variables as needed. For example:

export API_KEY=your-api-key

Ensure that sensitive information such as API keys and other credentials are securely managed.

Security Considerations

• Rate Limiting: Implement rate limiting to prevent abuse of the server.
• Authentication: Use secure authentication mechanisms for accessing server data.
• Data Protection: Ensure data privacy by handling user and client information securely.

❓ Frequently Asked Questions (FAQ)

1. Is Bazos MCP Server compatible with all AI clients?

   • Yes, Bazos supports compatibility with MCP clients like Claude Desktop and Continue.

2. How can I ensure real-time data updates for my application?

   • The server is designed to scrape Bazos.cz in real time, ensuring the latest listings are always accessible.

3. Can I use this server for multiple AI applications simultaneously?

   • Yes, by configuring multiple servers in your mcp.json file, you can support multiple AI clients and tools.

4. What happens if there's a discrepancy between the Bazos.cz data and the client queries?

   • The server ensures that data is returned based on the most recent listings available from Bazos.cz, minimizing discrepancies.

5. How do I optimize the server for high-frequency queries?

   • Implement caching mechanisms to store frequently accessed data locally or remotely, reducing the number of requests made to Bazos.cz.

👨‍💻 Development & Contribution Guidelines

Contributions are welcome! Please ensure your code adheres to the project's coding standards and submit a Pull Request. If you have questions or need help, feel free to reach out on the project’s GitHub issue tracker.

🌐 MCP Ecosystem & Resources

For more information about the Model Context Protocol (MCP) and its ecosystem, visit:

• Model Context Protocol Documentation
• Bazos.cz API Documentation

Join the community discussions on GitHub to collaborate with other developers building AI applications using MCP.

By leveraging Bazos MCP Server, you can significantly enhance your AI application's ability to access up-to-date and relevant data from the Bazos.cz marketplace. This integration opens new possibilities for real-time data-driven decisions and advanced analytics in various industries.