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Discogs

Discogs MCP. Track every pressing, price, and artist history.

Claude Claude
ChatGPT ChatGPT
Cursor Cursor
Gemini Gemini
Windsurf Windsurf
VS Code VS Code
JetBrains JetBrains
Vercel Vercel
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Discogs MCP on Cursor AI Code Editor MCP Client Discogs MCP on Claude Desktop App MCP Integration Discogs MCP on OpenAI Agents SDK MCP Compatible Discogs MCP on Visual Studio Code MCP Extension Client Discogs MCP on GitHub Copilot AI Agent MCP Integration Discogs MCP on Google Gemini AI MCP Integration Discogs MCP on Lovable AI Development MCP Client Discogs MCP on Mistral AI Agents MCP Compatible Discogs MCP on Amazon AWS Bedrock MCP Support

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Discogs connects your AI client to the world’s deepest music metadata database. Search everything—artists, labels, releases, and marketplace listings—to map out complete discographies and track specific pressings.

Use it for academic research, inventory pricing, or just finding that one rare vinyl edition.

What your AI agents can do

Database search

Search the entire catalog using free text across artists, releases, labels, or genres.

Get artist

Retrieve detailed profile information, including biography and member lists, for a specific artist.

Get artist releases

List every album, single, or compilation released by an artist over time.

+ 10 more capabilities included
Map a complete discography

Get every studio album, single, and compilation credited to an artist over their career.

Trace specific pressings (variants)

Identify the canonical version of an album and list every historical pressing or format it came out on.

Research label history

Explore a record label's full corporate structure, including its sublabels and complete catalog output.

Analyze market demand

Determine the median sale price, range of listing prices, and current supply for any specific release.

Identify collector value

View what other collectors are actively tracking in their wantlists or public collections.

Supported MCP Clients

OAuth 2.0 Compatible
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Vinkius runs on ChatGPT ChatGPT
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Vinkius runs on Zendesk Zendesk
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AI Agent

Discogs: 13 Tools for Music Data Analysis

These tools let you search, analyze, and track complex metadata across an artist's entire career or a label's full catalog.

Make your AI actually useful.

Add this MCP to Claude, Cursor, or Windsurf and your AI stops guessing. It gets real tools to look things up, take action, and handle the stuff you keep doing by hand.

Start using Discogs on Vinkius
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database search

Search the entire catalog using free text across artists, releases, labels, or genres.

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get artist

Retrieve detailed profile information, including biography and member lists, for a specific artist.

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get artist releases

List every album, single, or compilation released by an artist over time.

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get label

Get the corporate structure and profile details for a specific record label.

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get label releases

List all releases published by a given label, useful for catalog research.

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get marketplace listings

View current sales listings, including price and condition, for any specific release.

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get master release

Identify the core, canonical version of an album to view its overall creative work details.

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get master release versions

List all physical pressings and variations (e.g., vinyl vs. cassette) associated with a master release.

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get release

Get the absolute most detailed metadata for one specific, finished product or edition.

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get release stats

Calculate market statistics like median sale price and current listing count for a release.

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get user collection

See the contents of any public user collection or wantlist, including basic metadata.

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get user profile

Fetch a public user’s profile details, like their location and contribution history.

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get user wantlist

See what specific releases other collectors are currently trying to find or buy.

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Discogs MCP server cover

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Discogs. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Works with Claude, ChatGPT, Cursor, and more

The Model Context Protocol standardizes how applications expose capabilities to LLMs. Instead of operating in isolation, your AI gains direct access to external platforms, live data, and real-world actions through secure, standardized connections.

This server provides 13 capabilities that interface natively with Claude, ChatGPT, Cursor, and any MCP client. No middleware. No custom integration required.

Digging through the archives of physical media is brutal.

You know the drill. You want to verify a rare pressing, so you open Discogs, manually search by artist name, then scroll through dozens of ambiguous results; maybe you find the right album, but now you have to click into it, check the label, and then copy-paste data points about its year and format into your spreadsheet.

With this MCP, you just ask your agent: 'Show me every vinyl pressing of X.' It pulls the master metadata for you. You get a clean list showing all variants, their specific formats, and key details—no more clicking through pages of conflicting information.

get_master_release_versions provides crystal-clear version tracking.

Instead of checking the release page and hoping to spot every format, you run get_master_release_versions. This tool forces a clear output that separates the core work from all its individual physical manifestations: the 1980 UK vinyl, the 1985 Japanese cassette, etc.

The result is clean data. You get an unambiguous list of every pressing variation for the central piece of art—it's metadata organization at its best.

What you can do with this MCP connector

You're dealing with complex creative works, not simple data points. Discogs lets your agent treat the entire history of recorded music like a structured database. Instead of bouncing between label websites and forum deep dives to verify details, you get instant access to metadata for artists, tracks, and record labels globally.

You can trace a release back through its master version to see every single pressing—UK vinyl, Japanese CD, cassette reissue—and compare all the technical specs instantly. When dealing with market values or provenance, data integrity is everything; that's why the whole process runs inside Vinkius, which guarantees that every tool call produces a cryptographically signed audit trail.

This means you know exactly what data flowed and when. You can research an artist’s full career arc, compare multiple pressings of one album, or check current market prices for rare items—all through natural conversation.

Built · Hosted · Managed by Vinkius Discogs MCP - Research Music Metadata & Pricing Server ID 019d842e-979e-714a-8830-846b0efab7e1
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Common Questions About Discogs MCP

How do I find all versions of a single album using get_master_release_versions? +

You first use database_search to identify the core master release. Then, run get_master_release_versions and specify the title or ID; this lists every known pressing variant for you.

Do I need to know an artist’s name before using get_artist? +

No. You can start by using database_search with general keywords, then use get_artist on the ID provided in those initial search results.

What is the difference between get_release and get_master_release? +

get_master_release describes the overall creative work (the concept); get_release gives you all the specific, technical data points for one physical edition of that work.

Can I check market prices using get_marketplace_listings? +

Yes. This tool pulls real-time seller information—price, condition, and currency—for a specified release, letting you compare deals instantly.

How do I use `database_search` to filter results by genre or style? +

You pass the specific filters directly into the query parameters. This lets you narrow down massive result sets immediately, focusing your search on precise criteria like a year, country, or genre.

What information does `get_label` provide about a record company's history? +

It returns the label's profile and its corporate structure. You can see its parent labels and all associated sublabels, helping you track catalog organization or historical changes in publishing.

Can I use `get_user_collection` to understand what genres collectors value? +

It returns a list of releases with basic metadata. While deep details are restricted, viewing public collections shows you which artists and formats are highly popular among the community.

What key metrics does `get_release_stats` provide for market research? +

It gives you three crucial pricing points: the lowest, median, and highest sale prices. You also get a count of active listings, which helps measure both rarity and current market demand.

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Vinkius runs on Cursor Cursor
Vinkius runs on Gemini Gemini
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Vinkius runs on JetBrains JetBrains
Vinkius runs on Vercel Vercel
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