Extracts comprehensive track metadata, audio preview URLs, and cover artwork from Beatport track URLs.
This Python-based tool serves as a versatile Beatport metadata extractor, capable of retrieving detailed track information, lofi audio preview URLs, and high-quality cover artwork. It's designed for deployment as an efficient AWS Lambda function using the Serverless Framework and Docker, providing a robust, serverless solution accessible via HTTP API Gateway. Additionally, it integrates seamlessly as an MCP server for Claude Desktop, enabling direct metadata extraction within AI conversations.
Key Features
01MCP Server Integration for Claude Desktop
02Audio Preview URL Retrieval
03High-Quality Cover Artwork Fetching (500x500)
04Comprehensive Track Metadata Extraction
05Serverless Deployment on AWS Lambda with Docker
060 GitHub stars
Use Cases
01Automating the collection of Beatport track information for various applications
02Enriching AI conversations in Claude Desktop with direct Beatport track details
03Developing custom tools or services that require structured Beatport data
