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MCP Integrations Discogs
MCP & AI Agent Integration

Discogs
automation.

18 AI agent actions for Discogs — callable from any MCP-compatible runtime, Claude, Cursor, or Cerebral OS workflow. Use Discogs to organize files, generate documents, and manage permissions programmatically. Full governance, audit trail, and dry-run safety on every execution.

Connect Discogs free Browse all integrations →
No credit card required
Live in production environments
<200ms median execution
Dry-run before production
Execution trace
live
18
actions
100%
governed
<200ms
latency
18
AI agent actions
14
Read operations
4
Write operations
2
High-risk actions (approval gated)
Files & Documents Discogs is a Files & Documents integration — use it to automate file storage, sharing, and document management from any AI agent or MCP-compatible runtime.
Actions

What you can do
with Discogs.

Every action below is available as an MCP tool and a verb in Cerebral OS — callable from any AI agent, Claude, Cursor, Windsurf, or your own runtime via the BYOA API. All executions are governed, audited, and dry-run safe.

Get Artist
discogs:get_artist
Fetch a single artist by ID with full details including biography and member information.
Read Low risk
Get Label
discogs:get_label
Fetch a single label by ID with full details including sublabels and parent labels.
Read Low risk
Get Marketplace Listing
discogs:get_marketplace_listing
Fetch a single marketplace listing by ID with full details including condition and price.
Read Low risk
Get Master
discogs:get_master
Fetch a single master release by ID with full details including versions.
Read Low risk
Get Release
discogs:get_release
Fetch a single release by ID with full details including tracklist and marketplace stats.
Read Low risk
Get User Collection
discogs:get_user_collection
Fetch a user's collection items with details and custom fields.
Read Low risk
Get User Profile
discogs:get_user_profile
Fetch a user's profile information including stats and preferences.
Read Low risk
Get User Wantlist
discogs:get_user_wantlist
Fetch a user's wantlist items with details and notes.
Read Low risk
List Collection Folders
discogs:list_collection_folders
List all collection folders for a user.
Read Low risk
Search Artists
discogs:search_artists
Search for artists in the Discogs database.
Read Low risk
Search Labels
discogs:search_labels
Search for labels in the Discogs database.
Read Low risk
Search Marketplace
discogs:search_marketplace
Search for items in the Discogs marketplace with various filters.
Read Low risk
Search Masters
discogs:search_masters
Search for master releases in the Discogs database.
Read Low risk
Search Releases
discogs:search_releases
Search for releases in the Discogs database with various filters.
Read Low risk
Add To Collection
discogs:add_to_collection
Add a release to a user's collection folder.
Write Medium risk
Add To Wantlist
discogs:add_to_wantlist
Add a release to a user's wantlist with optional notes.
Write Medium risk
Remove From Collection
discogs:remove_from_collection
Remove a specific instance of a release from a user's collection folder.
Write High risk
Remove From Wantlist
discogs:remove_from_wantlist
Remove a release from a user's wantlist.
Write High risk
MCP & Runtime API

Call Discogs
from any AI agent.

Any AI agent — Claude, Cursor, LangChain, AutoGen, or your own — can call Discogs actions through the Cerebral OS Runtime API. Governance, credentials, and audit trail fire automatically.

discogs:get_artist READ
# Call via Runtime API
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "discogs:get_artist",
    "args": {},
    "execution_id": "agent-001"
  }'
discogs:add_to_collection WRITE
# Dry-run first — no production risk
curl
-X POST \
  "https://api.cerebralos.com/v1/runtime/actions/run"
  -H "X-API-Key: YOUR_KEY" \
  -d '{
    "verb": "discogs:add_to_collection",
    "args": {},
    "execution_id": "agent-001",
    "metadata": {"dryRun": true}
  }'
Get your Runtime API key at app.cerebralos.com/signup — 1,000 free executions, no credit card required.
AI agent examples

What your AI agent
can do with Discogs.

Real patterns your AI agent can execute via MCP or the Runtime API. Every action governed, dry-run safe, and fully audited.

Trigger
AI agent needs Discogs data
Call discogs:get_artist via MCP or Runtime API
AI processes result and takes next action
Full execution logged to audit trail automatically
Trigger
Workflow needs to write to Discogs
Dry-run validates discogs:add_to_collection before execution
Approval gate fires if risk level is high
Action executes with full governance — logged, audited, reversible
Trigger
File or document event
Process with AI
Route for approval
Notify team
How it works

Every Discogs action
governed end-to-end.

Cerebral OS isn't a connector. It's the execution layer that sits in front of Discogs — adding governance, dry-run safety, and a full audit trail to every operation.

Governance first
Every verb carries a risk classification. High-risk writes require explicit approval gates before they execute in production.
Dry-run safe
Simulate any Discogs action before it touches production. See exactly what would happen before a single real call is made.
Immutable audit trail
Every Discogs action is logged — what ran, what changed, who approved it, when it happened. Full history on every verb, forever.
Connect with

Discogs works best
alongside these.

Build multi-step workflows that connect Discogs to the rest of your stack. All governed. All audited.

Google Drive Dropbox Box Notion Slack
Discogs integration

Start free.
No credit card required.

Start free with 1,000 runs — no credit card required. Connect Discogs in minutes, dry-run every action before it touches production, full audit trail on everything.

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