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Connect AI assistants to Audiobookshelf to browse libraries and manage listening activity.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "audiobookshelf-mcp" yet — see the docs or source repo.
Connect to my Audiobookshelf, list the available audiobook libraries, and show the first 10 items in each library.
A list of accessible libraries and a sample of audiobook items from each one.
Update my listening progress for "Atomic Habits" to 62% and tell me whether it succeeded.
The tool identifies the target book, updates the progress, and returns the result.
Review my recently added bookmarks and add the related audiobooks to a playlist named "Commute Listening."
A list of recent bookmarks and a created or updated target playlist.
Students or office workers switching between multiple audiobooks can ask an AI to update progress and bookmarks directly instead of doing it manually. This fits a listen-and-note workflow.
When users do not remember which library a title is in or what they recently collected, they can have the AI browse Audiobookshelf libraries and summarize the results. This helps them find content faster.
Users who group audiobooks by theme can use AI to maintain collections and playlists and keep related content organized. It is useful for commute, study, or bedtime listening lists.
This is an MCP server for Audiobookshelf that lets AI assistants browse libraries and manage listening progress, bookmarks, collections, and playlists.
Based on the provided information, it can browse Audiobookshelf libraries and manage listening progress, bookmarks, collections, and playlists. For unlisted capabilities, see the source repository.
You need an available Audiobookshelf environment and an AI assistant or client that supports MCP. The provided material does not specify installation or configuration steps, so see the source repository.
Inspect and safely manage Audiobookshelf libraries through MCP workflows.
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