Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Make audiobooks locally with Kokoro voices from your AI assistant. Nothing leaves your computer.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
CLAUDIO_AUDIOBOOK_VOICE, CLAUDIO_AUDIOBOOK_SPEED, CLAUDIO_AUDIOBOOK_FORMAT, CLAUDIO_AUDIOBOOK_AUTHOR, CLAUDIO_AUDIOBOOK_OUTPUT필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"claudio-audiobook": {
"command": "uvx",
"args": [
"claudio-audiobook"
],
"env": {
"CLAUDIO_AUDIOBOOK_VOICE": "your-value",
"CLAUDIO_AUDIOBOOK_SPEED": "your-value",
"CLAUDIO_AUDIOBOOK_FORMAT": "your-value",
"CLAUDIO_AUDIOBOOK_AUTHOR": "your-value",
"CLAUDIO_AUDIOBOOK_OUTPUT": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add claudio-audiobook --env CLAUDIO_AUDIOBOOK_VOICE=your-value --env CLAUDIO_AUDIOBOOK_SPEED=your-value --env CLAUDIO_AUDIOBOOK_FORMAT=your-value --env CLAUDIO_AUDIOBOOK_AUTHOR=your-value --env CLAUDIO_AUDIOBOOK_OUTPUT=your-value -- uvx claudio-audiobook실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"claudio-audiobook": {
"command": "uvx",
"args": [
"claudio-audiobook"
],
"env": {
"CLAUDIO_AUDIOBOOK_VOICE": "your-value",
"CLAUDIO_AUDIOBOOK_SPEED": "your-value",
"CLAUDIO_AUDIOBOOK_FORMAT": "your-value",
"CLAUDIO_AUDIOBOOK_AUTHOR": "your-value",
"CLAUDIO_AUDIOBOOK_OUTPUT": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"claudio-audiobook": {
"type": "stdio",
"command": "uvx",
"args": [
"claudio-audiobook"
],
"env": {
"CLAUDIO_AUDIOBOOK_VOICE": "your-value",
"CLAUDIO_AUDIOBOOK_SPEED": "your-value",
"CLAUDIO_AUDIOBOOK_FORMAT": "your-value",
"CLAUDIO_AUDIOBOOK_AUTHOR": "your-value",
"CLAUDIO_AUDIOBOOK_OUTPUT": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
CLAUDIO_AUDIOBOOK_VOICE envCLAUDIO_AUDIOBOOK_SPEED envCLAUDIO_AUDIOBOOK_FORMAT envCLAUDIO_AUDIOBOOK_AUTHOR envCLAUDIO_AUDIOBOOK_OUTPUT env이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 restante 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.2.0)은 21일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Python (uv)도 있어야 해요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Asset Notation
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Read and maintain an Asset Notation file on disk: net worth, holdings, valuations, CSV import.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
**Say *"create a python course audiobook"*. The AI writes it, a local voice reads it. Free, private, offline.**
Works with Claude Desktop · Claude Code · Cursor · VS Code (Copilot) · Gemini CLI · Codex CLI · any MCP client
Install · Listen · Examples · Voices · Settings
claudio-audiobook is a [Model Context Protocol](https://modelcontextprotocol.io) (MCP) server. You add it to an AI assistant, and the assistant gains the ability to turn text into an audiobook on your computer. It is built and tested first for Claude (Desktop and Code, as a one-click extension and a plugin), and it works with other MCP-capable tools too. It also has a plain command line for use without any AI.
| Tool | How to install |
|---|---|
| Claude Desktop | one-click .mcpb extension |
| Claude Code | plugin, or claude mcp add |
| Cursor | mcp.json |
| VS Code (GitHub Copilot) | mcp.json |
| Gemini CLI | settings.json |
| Codex CLI (OpenAI) | config.toml |
| Any other MCP client, or no AI | stdio command / command line |
Not supported: web chat apps that cannot run local MCP servers (the ChatGPT and Gemini websites).
Text-to-speech APIs charge per character and send your text to someone else's server. Audiobook apps only play books that already exist. claudio-audiobook closes the gap: you describe the audiobook you want, Claude writes it as spoken prose, and an 82M-parameter Kokoro voice reads it on your own machine.
| claudio-audiobook | Cloud TTS APIs | Audiobook apps | |
|---|---|---|---|
| Creates the *content* for you | ✅ | ❌ | ❌ |
| Cost per hour of audio | £0 | per-character fees | subscription |
| Text leaves your computer | Never | Always | n/a |
| API key or account | None | Required | Required |
Chapters in the file (.m4b) | ✅ | DIY | ✅ |
| Works offline after setup | ✅ | ❌ | partly |
Real output, no editing. Voice bf_emma, from the text in docs/samples/python-intro.md:
▶ [python-intro-bf_emma.mp3](https://github.com/restante/claudio_audiobook/releases/download/v0.1.2/python-intro-bf_emma.mp3) (18 seconds, 109 KB)
That sample rendered in about 6 seconds on the author's Mac (CPU only). A real 11-chapter, 36-minute exam course took about 3 minutes.
You need uv for Claude Code (install it: macOS brew install uv, Windows winget install --id=astral-sh.uv -e). Everything else, including ffmpeg, is installed for you. The voice model (about 330 MB, once) downloads on first use.
/plugin marketplace add restante/claudio_audiobook
/plugin install claudio-audiobook --marketplace restante/claudio_audiobook
Prefer just the MCP server, without the skill?
claude mcp add claudio-audiobook -- uvx --from claudio-audiobook claudio-audiobook-mcp
claudio-audiobook- .mcpb from Releases.Desktop installs the dependencies itself.
Want the Pocket TTS engine in Desktop? Install claudio-audiobook-pocket- .mcpb from the same Releases page *instead of* the standard one (install one or the other). It adds Pocket TTS (7 languages, voice cloning) and a "Default engine" setting. Its first launch downloads PyTorch and the voice engine, about 1 GB: under a minute on a fast connection in testing, longer on a slow one, and Claude may show the extension as failed until it finishes (wait, then reconnect).
It is a standard MCP server (stdio), so it is not tied to Claude. Install it once, then point your tool at it:
uv tool install claudio-audiobook # from PyPI; puts claudio-audiobook-mcp on your PATH
claudio-audiobook download-model # the voice model, about 330 MB, once claudio-audiobook doctor # checks everything is in place
Installing first matters: the first run of uvx has to download and install everything, which can exceed a client's start-up timeout. If your tool cannot find the command, use its full path (which claudio-audiobook-mcp).
Cursor · ~/.cursor/mcp.json or .cursor/mcp.json
{
"mcpServers": { "claudio-audiobook": { "type": "stdio", "command": "claudio-audiobook-mcp" } } }
</details>
VS Code (GitHub Copilot) · .vscode/mcp.json or run MCP: Open User Configuration
{
"servers": { "claudio-audiobook": { "type": "stdio", "command": "claudio-audiobook-mcp" } } }
Use agent mode so Copilot can call tools.
Gemini CLI · ~/.gemini/settings.json
{
"mcpServers": { "claudio-audiobook": { "command": "claudio-audiobook-mcp" } } }
or `gemini mcp add --scope user claudio-audiobook claudio-audiobook-mcp`. Check with `/mcp`.
Codex CLI (OpenAI) · ~/.codex/config.toml
[mcp_servers.claudio-audiobook]
command = "claudio-audiobook-mcp" startup_timeout_sec = 60
or `codex mcp add claudio-audiobook -- claudio-audiobook-mcp`. Codex waits only 10 seconds for a server to start
by default, so raise startup_timeout_sec as above. Check with codex mcp list.
Set defaults (voice, speed, folder) with CLAUDIO_AUDIOBOOK_* environment variables in the same config, for example "env": { "CLAUDIO_AUDIOBOOK_VOICE": "bf_emma" }. Any agent that can run a shell can also use the command line directly.
Status: the server was checked with a generic MCP stdio client (handshake, tool list, a dry run), and the
tool schemas are tested to avoid constructs that Cursor and Gemini mishandle. The configs above follow each
tool's current documentation but have not yet been run inside those tools. If one doesn't work for you,
please open an issue.
Just ask. Claude agrees the scope, writes the text, shows the chapter list and length, renders in the background and tells you where the file is.
A course from nothing
create a python course audiobook, for beginners, about an hour, in a calm British voice
Your own text
Turn ~/notes/book.md into an audiobook.
Steer it in plain English
slower · a different voice · mix af_heart and bf_emma 60/40 · longer pauses between sentences · make it mp3
Ideas people can do with it
if_sara, or an English text read with a French accentWhat you get
~/Audiobooks/python-for-beginners/
├── python-for-beginners.m4b ← one file, with chapter marks ├── 01-welcome.wav ├── 02-variables.wav └── ...
A real run (from docs/samples/python-intro.md): three chapters in, one .m4b with chapter marks out.
No Claude needed for text you already have:
uvx --from claudio-audiobook \
claudio-audiobook build book.md --voice bf_emma --speed 0.95
Preview before rendering. This is real output:
$ claudio-audiobook build course.md --dry-run
1 01-welcome.wav ~ 0.1 min 2 02-variables.wav ~ 0.1 min 3 03-loops.wav ~ 0.1 min 3 chapters, about 0.0 h of audio
Chapters start at # headings (or lines like Chapter 3); a file without headings is cut into parts. Interrupted? Run it again: finished chapters are kept, and only chapters whose text or settings changed are redone.
The default output is an M4B, the standard audiobook file: AAC audio with chapter marks, the tags players use to file it under *Audiobooks* (title, author, narrator, genre "Audiobook"), and a cover.
cover_colors. Or give your own picture: *"use ~/Pictures/cover.png"* (--cover). A cover.jpg or cover.png you drop in the book's folder is used too. --cover none skips it.--author flag. Set a default author once in the Desktop extension settings.Import it into:
| Where | How |
|---|---|
| Apple Books (Mac, iPhone, iPad) | drag the .m4b onto Books, or share it from Files |
| BookPlayer (iOS, chapters tested), Audiobookshelf, Plex | add it to the library folder or import it |
| Voice, Smart AudioBook Player, Listen (Android) | open the file or copy it to your audiobooks folder |
| VLC, Foobar2000 | plays it. VLC for iOS did not show the chapter list in testing, so use BookPlayer or Apple Books for chapters |
Choose --format mp3 for players that don't read M4B (some car stereos). Audible and Kindle use closed formats and cannot import it.
Pocket TTS (Kyutai, 100M parameters) is an optional second voice engine. In th
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요