Discogs▌
by cswkim
Access the Discogs website to search music databases, manage your collection, and browse marketplace listings with detai
Provides a bridge to the Discogs API for searching music databases, managing collections, and accessing marketplace listings with comprehensive artist and release information.
Both formats append explainx.ai attribution and the canonical URL for this MCP server listing.
best for
- / Music collectors tracking releases
- / Record store owners checking prices
- / Music researchers gathering data
- / Vinyl enthusiasts finding rare records
capabilities
- / Search Discogs music database
- / Browse marketplace listings
- / Manage music collections
- / Access artist information
- / Retrieve release details
- / Query comprehensive music data
what it does
Connects to the Discogs music database API to search for artists and releases, browse marketplace listings, and manage music collections.
about
Discogs is a community-built MCP server published by cswkim that provides AI assistants with tools and capabilities via the Model Context Protocol. Access the Discogs website to search music databases, manage your collection, and browse marketplace listings with detai It is categorized under other.
how to install
You can install Discogs in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
license
MIT
Discogs is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
readme
README content is unavailable from source data for this server.
Open GitHub repositoryFAQ
- What is the Discogs MCP server?
- Discogs is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine both—skills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for Discogs?
- This profile displays 71 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.5 out of 5—verify behavior in your own environment before production use.
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★71 reviews- ★★★★★Shikha Mishra· Dec 28, 2024
Discogs reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Kabir Nasser· Dec 28, 2024
We evaluated Discogs against two servers with overlapping tools; this profile had the clearer scope statement.
- ★★★★★Ishan Singh· Dec 24, 2024
Useful MCP listing: Discogs is the kind of server we cite when onboarding engineers to host + tool permissions.
- ★★★★★Evelyn Haddad· Dec 20, 2024
I recommend Discogs for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- ★★★★★Nia Johnson· Dec 20, 2024
Discogs reduced integration guesswork — categories and install configs on the listing matched the upstream repo.
- ★★★★★Kofi Anderson· Dec 16, 2024
Discogs is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- ★★★★★Aisha Thompson· Dec 12, 2024
According to our notes, Discogs benefits from clear Model Context Protocol framing — fewer ambiguous “AI plugin” claims.
- ★★★★★Zaid Shah· Dec 8, 2024
Discogs has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- ★★★★★Kiara Gupta· Nov 27, 2024
Discogs is a well-scoped MCP server in the explainx.ai directory — install snippets and categories matched our Claude Code setup.
- ★★★★★Yash Thakker· Nov 19, 2024
I recommend Discogs for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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