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Access ListenBrainz listening history and related music activity data.
The available material is sparse, but based on known facts, the main exposure is that this MCP tool executes locally and connects to its declared remote endpoint. No required credentials or clear over-privilege red flags are evident; with an official registry source, auditable source code, and recent maintenance, it fits low-to-moderate concern rather than high risk.
The material explicitly states that no keys or environment variables are required. There is no indication that users must provide API keys, tokens, or local sensitive credentials, so credential leakage or abuse exposure appears low.
The tool accesses the remote endpoint gateway.pipeworx.io. As a networked MCP tool, user queries or interaction data may be sent to that declared endpoint. The material does not describe data types, minimization, or privacy handling, so outbound data boundaries warrant attention.
System checks indicate that it executes code / runs as a local MCP process, which is a normal capability for this tool class. The available material does not show unusual system privileges or execution powers clearly disproportionate to its stated function, but it should still be treated as a local executable component and isolated accordingly.
The material does not claim local file read/write, database access, browser data access, or other highly sensitive resource access. Based on the current information, there is no clear sign of over-broad data access, although the missing README leaves the exact scope insufficiently documented.
Positive signals include an official registry source, an open-source repository that can be audited, and updates within the last year, all of which materially reduce supply-chain risk. However, community adoption is currently very low (0 stars) and no license is declared, so transparency and maturity remain limited; caution is more appropriate than high risk.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "Listenbrainz" MCP server from askskill: Run: claude mcp add --transport http 'io-github-pipeworx-io-listenbrainz' 'https://gateway.pipeworx.io/listenbrainz/mcp'
Use ListenBrainz to fetch the latest 20 listens for user alice, and list track name, artist, and listen time in reverse chronological order.
A list of recent listens with key details such as track, artist, and timestamp.
Using ListenBrainz data, summarize the top 10 artists listened to by user alice in the past 30 days and rank them by play count.
A ranked top-artist report showing positions and listen counts.
Analyze user alice's ListenBrainz listening data from the last 3 months and summarize preference changes, including frequent artists, active time periods, and possible new interests.
A concise listening trend summary describing recent behavior and preference shifts.
Search music metadata and cover art, then submit tags, ratings, and collections.
Connect AI to your Discogs collection for music lookup, organization, and analysis.
Access rekordbox data to search tracks, manage playlists, and analyze DJ history.
Search songs, lyrics, playlists, albums, and artists from Netease Cloud Music.
Connect AI to Spotify for playback control, music search, playlists, and insights.
Control Spotify playback, search tracks, and retrieve user profile via MCP.