Audiobookshelf MCP Server: Give AI Agents Access to Your Audiobooks and Podcasts

Why Give AI Access to Audiobookshelf?

Audiobookshelf is the self-hosted audiobook and podcast server that organizes your audio library with metadata matching, progress tracking, and multi-user support. It handles everything from library scanning to chapter-level bookmarks across all your devices.

But when you're coding automation scripts or building reading-related tools in Claude or Cursor, your AI assistant can't see your Audiobookshelf instance. It can't look up which book you're currently listening to, check library stats, or find a specific title. You keep switching to the web player.

With DataFaucet, you browse your Audiobookshelf dashboard once and it captures the API calls as MCP tools. Now your AI coding assistant can search your library, check progress, and browse collections directly.

What AI Agents Can Do With Audiobookshelf Access

Once DataFaucet creates an MCP server from your Audiobookshelf session, AI agents can:

• Search your audiobook library by title, author, narrator, or series
• Check listening progress with current position and time remaining
• Browse podcast subscriptions with episode counts and download status
• View user activity including recently played and listening stats
• List collections and shelves with item counts
• Check library scan status and newly added items
• View metadata matches and cover art status

Setting Up Audiobookshelf as an MCP Server with DataFaucet

Step 1: Browse Your Audiobookshelf Dashboard

Open your Audiobookshelf web interface and navigate through your Libraries, Series, Authors, Podcasts, and Settings pages.

Step 2: DataFaucet Captures the API

DataFaucet's browser extension records the API calls your browser makes to Audiobookshelf. Each call becomes a callable MCP tool with parameters and response types.

Step 3: Connect to Your AI Client

Add the generated MCP server to Claude Desktop, Cursor, or Windsurf. Your AI assistant can now query your audiobook library whenever it needs context.

Example: AI Checks Listening Progress

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User: What am I currently listening to on Audiobookshelf?

AI (via DataFaucet MCP): You're 67% through "Project Hail Mary" by Andy Weir:

• Current position: 7h 23m of 11h 02m
• Chapter 19 of 30
• Last listened: 2 hours ago
• Up next in queue: "The Martian" (same author)

\\\`

Example: AI Searches Your Library

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User: How many Brandon Sanderson books do I have?

AI (via DataFaucet MCP): 12 Brandon Sanderson audiobooks:

• Mistborn Era 1 (3 books, all finished)
• Stormlight Archive (4 books, currently on book 3)
• Warbreaker (1 book, not started)
• Skyward series (4 books, 2 finished)
• Total listening time: 342 hours

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Why Not Just Use the Audiobookshelf API Directly?

Audiobookshelf has a REST API, but building a dedicated MCP server means writing endpoint wrappers, handling API token authentication, managing pagination for large libraries, and keeping up with API changes across versions.

DataFaucet skips all of that. It watches what your browser does and replicates those exact calls as structured MCP tools. If Audiobookshelf updates its interface, you just re-capture.

Works With Any MCP Client

The Audiobookshelf MCP server created by DataFaucet works with:

• Claude Desktop and Claude Code
• Cursor (AI-powered editor)
• Windsurf (Codeium's IDE)
• Any MCP-compatible client

Your AI gets real-time data from your Audiobookshelf server regardless of which tool you use.

Get Started

Create your Audiobookshelf MCP server with DataFaucet — browse your library once, get AI access to your audiobooks and podcasts in under two minutes.