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Alternatives to audiobook_mcp

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    Related Servers

    • A
      license
      Not graded
      quality
      C
      maintenance
      Enables AI assistants to fetch and write ebook metadata, download covers, convert books between formats, and manage an ebook library through command-line tools. Batch operations default to dry-run, so changes can be previewed before being applied.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      A local MCP server that turns any text into narration, voice-overs, dialogues, audiobook chapters and per-shot video clips as MP3/WAV files — with emotions, acting modes, inline cues, presets and subtitles — driven by a ChatGPT sign-in rather than an API key. It also exposes tools for inspecting audio (timings, pace, pitch, waveform), transcribing recordings, listing and favouring voices, saving pronunciation presets, and checking sign-in status.
      MIT
    • F
      license
      Not graded
      quality
      F
      maintenance
      Hosted Streamable HTTP MCP server (https://epublys.com/mcp) with 9 tools for EPUB/PDF manipulation: merge, split, compress, EPUB↔PDF conversion, metadata read/edit, validation with auto-fix, and AI cover generation. Free API key, no install. Listed on the official MCP registry as com.epublys/epublys.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Enables local, CPU-only audio post-production through tools for denoising, LUFS loudness normalization, silence removal, format conversion, pitch shifting, and speed changes. Supports podcast and video platform loudness compliance workflows.
      MIT

    TDQS

    A4.6/5.0

    Scored across 15 tools

    Disambiguation5/5

    Each tool targets a distinct operation: job lifecycle, status, boundary inspection/correction, output verification, and metadata handling are all clearly separated. Even similar tools like continue_conversion and run_until_done are explicitly differentiated by chunked vs. looping behavior.

    Naming Consistency5/5

    All tools use the consistent audiobook_ prefix followed by verb_noun snake_case names (start_conversion, get_status, patch_chapter_boundary). This makes the intended action and target resource predictable across the entire toolset.

    Tool Count5/5

    At 15 tools, the server is at the upper end of a well-scoped set, but every tool serves a distinct and necessary purpose in the audiobook pipeline. The count feels appropriate for covering conversion, progress tracking, boundary QA, verification, and metadata enrichment without redundant clutter.

    Completeness5/5

    The toolset provides a complete workflow: inspect EPUB, start/resume/run/cancel jobs, monitor progress, verify output, handle boundary corrections, and fetch/embed cover metadata. There are no obvious dead ends or missing lifecycle operations for the stated audiobook conversion purpose.

    Maintenance

    ActivityMaintained
    ResponsivenessNo issues