discogs-mcp

rianvdm/discogs-mcp

3.3

If you are the rightful owner of discogs-mcp and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

Discogs MCP Server is a powerful Model Context Protocol server that allows AI assistants to interact with your personal Discogs music collection, leveraging Cloudflare Workers for global edge computing.

The Discogs MCP Server is designed to enhance the interaction between AI assistants and your personal music collection on Discogs. Built on the robust infrastructure of Cloudflare Workers, this server offers intelligent mood mapping, advanced search capabilities, and seamless OAuth authentication. It provides a secure and efficient way to connect your Discogs account, enabling AI to make context-aware music recommendations based on mood, genre, and similarity. The server also offers comprehensive collection analytics, allowing users to gain insights into their musical tastes and preferences. With features like smart caching and rate limiting, the server ensures optimal performance and respects API limits. Whether you're looking for mood-based music suggestions or detailed collection statistics, the Discogs MCP Server provides a seamless and intelligent solution for music enthusiasts.

Features

  • Secure OAuth Authentication for safe Discogs account connection
  • Intelligent Mood Mapping to translate emotions into music
  • Advanced Search Intelligence with multi-strategy search and relevance scoring
  • Context-Aware Recommendations based on mood, genre, and similarity
  • Smart Caching for optimal performance and low-latency responses

Tools

  1. ping

    Test server connectivity

  2. server_info

    Get server information and capabilities

  3. auth_status

    Check authentication status and get login instructions

  4. search_collection

    Search your collection with intelligent mood and genre matching

  5. get_release

    Get detailed information about a specific release

  6. get_collection_stats

    View comprehensive collection statistics

  7. get_recommendations

    Get context-aware music recommendations

  8. get_cache_stats

    Monitor cache performance (development)