audiobook_mcp
Related Servers
Alternatives to audiobook_mcp
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables 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
- AlicenseNot gradedqualityBmaintenanceA 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
- AlicenseNot gradedqualityCmaintenanceTurns PDF or EPUB books into reusable AI analysis, Obsidian notes, and agent Skills that can be installed into Codex, Claude Code, or other MCP clients.42MIT
- FlicenseNot gradedqualityCmaintenanceConverts large comic archives (CBZ/CBR) into Kindle-optimized EPUB volumes with GPU acceleration, smart chunking under Amazon's 200MB limit, and device-specific profiles for manga/comics.-
- FlicenseNot gradedqualityFmaintenanceHosted 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.-
- AlicenseNot gradedqualityBmaintenanceEnables 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
Scored across 15 tools
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.
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.
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.
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.