MCP server SonicCraft
Коммит 9 нояб. 2026 г.Компилирует декларативные аудио-таймлайны в готовые к использованию записи речи, музыки и звуковых эффектов с синхронизированными субтитрами.
Также известен как user-github-me/soniccraft
- Звёзды
- 2
- Инструменты
- —
- Загрузки, 30 дней
- —
- Последняя версия
- 0.1.0
- Последний коммит
- 9 нояб. 2026 г.
- Лицензия
- Apache-2.0
Что такое SonicCraft MCP?
SonicCraft — это MCP server. Компилирует декларативные аудио-таймлайны в готовые к использованию записи речи, музыки и звуковых эффектов с синхронизированными субтитрами.
Сводка сгенерирована из README проекта
О SonicCraft MCP server
SonicCraft позволяет разработчикам и AI-агентам создавать профессиональный аудиоконтент на основе декларативных описаний. Определяя таймлайн в YAML или JSON, пользователи могут задавать речь, музыку и звуковые эффекты с точными инструкциями по громкости, порядку и таймингу. Движок берет на себя сложную цифровую обработку сигналов, необходимую для сведения этих элементов, включая sidechain ducking (понижение громкости музыки во время речи) и мастеринг финального результата по стандартам громкости EBU R128.
Этот инструмент работает как CLI, MCP server или Agent Skill, что делает его совместимым с такими клиентами, как Claude Code, Cursor и Gemini CLI. Он поддерживает различных провайдеров text-to-speech, включая ElevenLabs, OpenAI, Cartesia, Kokoro и Piper, а также локальные голоса macOS. Чтобы предотвратить лишние расходы, в систему встроена функция dry run для оценки длительности и количества символов перед выполнением API-запросов. Также используется кэширование по содержимому, что гарантирует повторный синтез только измененных строк при итеративной работе.
Что вы можете с ним делать
- 1Генерация закадрового голоса с фоновой музыкойAI-агент может создать тридцатисекундную озвучку для видеоролика о продукте, объединив речь и музыку одной командой.
- 2Автоматизация создания синхронизированных субтитровРазработчики могут создавать аудиофайлы, которые поставляются с соответствующими файлами субтитров WebVTT или SRT, основанными на фактическом времени рендеринга.
- 3Экономичное планирование аудиоПользователи могут запустить dry run, чтобы увидеть требования к таймингу и синтезу, не тратя деньги на платных TTS-провайдеров.
- 4Сведение диалогов с несколькими участникамиДвижок может управлять сложными диалогами между разными спикерами, автоматически корректируя тайминг, чтобы избежать наложения речи.
Взято из README проекта. Каждый вариант использования проверен на соответствие цитате из него.
Как установить SonicCraft MCP
Форматы проверены 10 ноя 2026Добавить в CursorУстановка SonicCraft MCP в Claude Code
$ claude mcp add --env CARTESIA_API_KEY=<YOUR_CARTESIA_API_KEY> --env ELEVENLABS_API_KEY=<YOUR_ELEVENLABS_API_KEY> --env OPENAI_API_KEY=<YOUR_OPENAI_API_KEY> soniccraft -- docker run -i --rm ghcr.io/user-github-me/soniccraft:0.1.0Установка SonicCraft MCP в Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"soniccraft": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/user-github-me/soniccraft:0.1.0"
],
"env": {
"CARTESIA_API_KEY": "<YOUR_CARTESIA_API_KEY>",
"ELEVENLABS_API_KEY": "<YOUR_ELEVENLABS_API_KEY>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
}
}
}
}Установка SonicCraft MCP в VS Code
.vscode/mcp.json
{
"servers": {
"soniccraft": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/user-github-me/soniccraft:0.1.0"
],
"env": {
"CARTESIA_API_KEY": "<YOUR_CARTESIA_API_KEY>",
"ELEVENLABS_API_KEY": "<YOUR_ELEVENLABS_API_KEY>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
}
}
}
}Установка SonicCraft MCP в VS Code CLI
$ code --add-mcp '{"name":"soniccraft","type":"stdio","command":"docker","args":["run","-i","--rm","ghcr.io/user-github-me/soniccraft:0.1.0"],"env":{"CARTESIA_API_KEY":"<YOUR_CARTESIA_API_KEY>","ELEVENLABS_API_KEY":"<YOUR_ELEVENLABS_API_KEY>","OPENAI_API_KEY":"<YOUR_OPENAI_API_KEY>"}}'Установка SonicCraft MCP в Claude Desktop
claude_desktop_config.json
{
"mcpServers": {
"soniccraft": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/user-github-me/soniccraft:0.1.0"
],
"env": {
"CARTESIA_API_KEY": "<YOUR_CARTESIA_API_KEY>",
"ELEVENLABS_API_KEY": "<YOUR_ELEVENLABS_API_KEY>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
}
}
}
}Установка SonicCraft MCP в Codex
~/.codex/config.toml
[mcp_servers.soniccraft] command = "docker" args = ["run", "-i", "--rm", "ghcr.io/user-github-me/soniccraft:0.1.0"] [mcp_servers.soniccraft.env] CARTESIA_API_KEY = "<YOUR_CARTESIA_API_KEY>" ELEVENLABS_API_KEY = "<YOUR_ELEVENLABS_API_KEY>" OPENAI_API_KEY = "<YOUR_OPENAI_API_KEY>"
Установка SonicCraft MCP в Gemini CLI
~/.gemini/settings.json
{
"mcpServers": {
"soniccraft": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"ghcr.io/user-github-me/soniccraft:0.1.0"
],
"env": {
"CARTESIA_API_KEY": "<YOUR_CARTESIA_API_KEY>",
"ELEVENLABS_API_KEY": "<YOUR_ELEVENLABS_API_KEY>",
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>"
}
}
}
}Конфигурация
CARTESIA_API_KEYСекретCartesia API key for the cartesia TTS provider (optional)
ELEVENLABS_API_KEYСекретElevenLabs API key for the elevenlabs TTS provider (optional)
OPENAI_API_KEYСекретOpenAI API key for the openai TTS provider (optional)
CLAUDE_PROJECT_DIR
| Название | Описание | Тип |
|---|---|---|
| CARTESIA_API_KEY | Cartesia API key for the cartesia TTS provider (optional) | Секрет |
| ELEVENLABS_API_KEY | ElevenLabs API key for the elevenlabs TTS provider (optional) | Секрет |
| OPENAI_API_KEY | OpenAI API key for the openai TTS provider (optional) | Секрет |
| CLAUDE_PROJECT_DIR | — |
Автоматические проверки
Запущено 13 нояб. 2026 г.Полный отчёт →Еще не проверено. Для сервера требуется оценка 80, отсутствие серьезных проблем и достаточно данных для нашей проверки. Как работают проверки · Что исправить, чтобы получить больше баллов
- Связанный и доступный исходный репозиторийuser-github-me/soniccraft is public and reachablegithub.com/user-github-me/soniccraft ↗Пройдено
- Пакет указывает этот репозиторий как источникНе проверялось
- Происхождение сборки (аттестация Sigstore)Не проверялось
- Open source лицензия (OSI)Apache-2.0spdx.org/licenses/Apache-2.0.html ↗Пройдено
- Коммит или релиз за последний годLast commit or release 2026-11-09github.com/user-github-me/soniccraft ↗Пройдено
- OpenSSF ScorecardНе проверялось
- Имя пакета не похоже на популярный пакетНе проверялось
- Нет критических предупреждений в пакете или его зависимостяхНе проверялось
- Нет скрытых инструкций для модели0 tool descriptions and the README read; no override phrases, credential paths or hidden charactersПройдено
- Деструктивные инструменты помеченыНе проверялось
- Удалённая конечная точка отвечает на рукопожатие MCPНе проверялось
README
Открыть на GitHubSonicCraft
A declarative, deterministic audio engine for AI agents. Describe a production as a YAML (or JSON) timeline: who says what, in which order, over which music, at what loudness. SonicCraft compiles it into TTS speech, music beds and sound effects, mixed with sidechain ducking, mastered to an EBU R128 loudness target, plus WebVTT/SRT subtitles that match the audio it actually rendered. It ships as a CLI, an MCP server and an Agent Skill.
Website · Quickstart · Use it from an AI agent · MCP server · Agent Skill
Use it from an AI agent
Give an agent (Claude Code, Codex, Cursor, Gemini CLI, ...) the link to this repository and ask for audio, for example "Use https://github.com/user-github-me/soniccraft to make a 30-second voiceover with background music for my product video." Everything it needs is below and in AGENTS.md.
-
Install the CLI (prebuilt and checksum-verified, no Rust needed). Homebrew, Scoop, Docker and Cargo work too: see Quickstart.
curl -fsSL https://raw.githubusercontent.com/user-github-me/soniccraft/main/install.sh | sh # macOS, Linuxirm https://raw.githubusercontent.com/user-github-me/soniccraft/main/install.ps1 | iex # Windows -
Write a timeline.
soniccraft init my-audiostarts one that renders offline: macOS voices on a Mac, elsewhere a mock test voice (not real speech). Real voices anywhere: Kokoro or Piper (free, local) or an ElevenLabs, OpenAI or Cartesia key, see Providers.soniccraft init --listshows the templates,soniccraft providersthe voices usable here, andsoniccraft schemathe JSON Schema; the Agent Skill explains the format. -
Check it, see the cost, render it:
soniccraft validate my-audio/timeline.yaml # errors with a code, line, column and fix hint soniccraft plan my-audio/timeline.yaml # free dry run: timing, ducking, characters to synthesize soniccraft render my-audio/timeline.yaml --preview # mastered audio, subtitles, manifest, preview page
To keep SonicCraft in an agent for good, add the skill and the MCP server. Both use the CLI from step 1; with
Node.js 20 or newer the MCP server also runs with nothing installed: use npx -y soniccraft-mcp in place of
soniccraft mcp below.
| Agent | Skill | MCP server |
|---|---|---|
| Claude Code | claude plugin marketplace add user-github-me/soniccraft, then claude plugin install soniccraft@soniccraft |
included in the plugin, or claude mcp add soniccraft -- soniccraft mcp |
| Codex | npx skills add user-github-me/soniccraft -g -a codex |
codex mcp add soniccraft -- soniccraft mcp |
| Cursor | npx skills add user-github-me/soniccraft -g -a cursor |
{"mcpServers": {"soniccraft": {"command": "soniccraft", "args": ["mcp"]}}} in .cursor/mcp.json |
| Gemini CLI and others | npx skills add user-github-me/soniccraft -g (choose the agent) |
the same mcpServers entry (Gemini CLI: ~/.gemini/settings.json) |
The server is also in the official MCP Registry as
io.github.user-github-me/soniccraft (container image). Details: MCP server and
Agent Skill.
Why
Ask an agent for a two-voice explainer with background music and it will usually hand-write an ffmpeg
filter graph: adelay offsets computed from guessed speech lengths, an amix, perhaps a half-remembered
sidechaincompress. That fails in predictable ways:
- Timing drift and overlaps. Synthesized speech is never exactly as long as the agent guessed, so lines collide or leave dead air, and every script edit shifts every later offset.
- No ducking. Sidechain compression is fiddly to get right in a filter graph, so the music either drowns the voice or sits uniformly too low.
- Loudness disparity. Different providers and voices come out at different levels. Nothing measures integrated loudness or true peak, so the result is uneven and can clip.
- Drifting subtitles. Captions are written from estimated times instead of from the audio that was rendered.
- Opaque, expensive iteration. A broken graph is a cryptic ffmpeg error, and every retry re-bills every TTS call.
How SonicCraft works
HyperFrames showed that agents make better video when they write declarative HTML and a deterministic renderer does the frame-accurate work. SonicCraft applies the same idea to audio. The agent writes intent as data; a compiler validates it, measures the real durations, resolves all timing in integer sample frames, and renders natively in Rust. The same timeline, TTS cache and binary always produce byte-identical audio, subtitles and manifests.
version: "1.0"
output:
format: "mp3"
sample_rate: 48000
bitrate: "320k"
target_lufs: -16.0 # integrated loudness target, measured per EBU R128 / ITU-R BS.1770
export_subtitles: true # Emits matching .vtt and .srt
tracks:
- id: ambient_bed
type: "music"
source: "assets/audio/synthwave_loop.wav"
loop: true
volume: 0.65
fade_in_ms: 1200
fade_out_ms: 2500
ducking:
trigger_tracks: ["voice_primary", "voice_secondary"]
reduction_db: -18.0
attack_ms: 80
release_ms: 350
- id: voice_primary
type: "speech"
pan: -0.15 # Subtle left stereo placement
sequence:
- id: cue_01
speaker: "narrator"
provider: "elevenlabs"
voice_id: "21m00Tcm4TlvDq8ikWAM"
text: "Autonomous software development requires deterministic compilation targets."
- pause_duration: 350ms
- id: cue_03
speaker: "narrator"
provider: "elevenlabs"
voice_id: "21m00Tcm4TlvDq8ikWAM"
text: "By separating high-level planning from digital signal processing, systems eliminate runtime hallucinations."
- id: voice_secondary
type: "speech"
pan: 0.15 # Subtle right stereo placement
sequence:
- id: cue_02
start_relative:
after_cue: "cue_01"
offset_ms: 150
speaker: "guest"
provider: "local_kokoro"
voice_id: "am_adam"
text: "Exactly. SonicCraft treats audio composition the same way Hyperframes treated web-based video."
- id: sfx_impact
type: "sfx"
source: "assets/sfx/whoosh.wav"
volume: 0.8
start_at_ms: 0
This is examples/tech-briefing/timeline.yaml. Here is what
soniccraft render does with it:
- Validates everything at once. Unknown keys, misspelled enum values, dangling anchors, missing voices, missing files and missing API keys are all reported together, each with a stable code, a path, a line and column, and a fix hint.
- Synthesizes and caches.
cue_01andcue_03go to ElevenLabs (with word timestamps);cue_02goes to a local Kokoro-FastAPI server (local_kokorois an alias of the built-inkokoroprovider). Each result is cached by a content hash, so later renders only pay for lines that changed. - Levels the voices. Each cue is trimmed of leading and trailing silence and normalized to -20 LUFS, so the cloud voice and the local voice sit at the same level.
- Lays out the timeline in sample frames.
cue_01starts at 0.cue_02starts 150 ms aftercue_01ends.cue_03is sequential, 350 ms aftercue_01, but that slot collides withcue_02, so the default overlap policy (push) automatically movescue_03to 350 ms aftercue_02ends, keeping its pause as the gap, and reports an infocue_pushed. The result is a natural three-turn exchange with no timing arithmetic by the agent. - Places the music. The bed is a looping clip without a length, so it runs to the end of the timeline
with a 1.2 s fade-in; the timeline ends 2.5 s after the last word (the bed's
fade_out_ms) and the bed fades out over exactly that tail. The whoosh fires at 0. - Ducks the bed by 18 dB whenever either voice speaks. Detection runs on the voices' own signal with an 80 ms lookahead (it defaults to the attack time), so the bed is already down when the first syllable lands; it recovers over 350 ms, and the default 250 ms hold bridges the 150 ms turn gap.
- Pans the two voices to -0.15 and +0.15 (constant power).
- Masters the mix to -16 LUFS integrated with a -1.0 dBTP true-peak ceiling (from the default
podcastpreset), iterating loudness gain and a 4× oversampled true-peak limiter until within 0.2 LU (the closest pass is kept andloudness_target_missedsays by how much when no pass gets there; an unreachable target gives the loudest master within 6 dB of average limiting, whatever the target). - Encodes a 48 kHz, 320 kbps MP3 natively, decodes and measures the delivered file (re-limiting if the
codec pushed a peak over the ceiling), and writes
timeline.vttandtimeline.srtfrom the placed word timings, labellednarratorandguest.
Before spending anything, soniccraft plan (alias dry-run) shows the same layout from estimated
durations without calling a TTS API (abridged JSON, estimated numbers):
{ "valid": true, "duration_ms": 20616.9, "estimated": true,
"items": [
{ "id": "cue_01", "kind": "cue", "start_ms": 0.0, "end_ms": 4838.7, "duration_source": "estimate" },
{ "id": "cue_02", "kind": "cue", "start_ms": 4988.7, "end_ms": 10863.7, "duration_source": "estimate" },
{ "id": "cue_03", "kind": "cue", "start_ms": 11213.7, "end_ms": 18116.9, "duration_source": "estimate",
"pushed_from_ms": 5188.7 } ],
"synthesis": { "cues": 3, "cached": 0, "characters_to_synthesize": 276 } }
Features
- Timeline DSL v1.0 in YAML or JSON with a published JSON Schema. Strict validation: unknown keys are errors with did-you-mean hints; every problem is reported at once with a stable code, path, line/column and a mechanical fix.
- Timing without arithmetic: sequential cues and pauses, absolute starts, and relative anchors
(
after_cue,with_cue,before_cue, with signed offsets) on cues, clips or whole tracks. Speech overlaps are pushed apart automatically (or warned about, rejected, or allowed per cue for crosstalk). - Eight TTS providers: ElevenLabs, any OpenAI-compatible
/audio/speechserver, Cartesia, Kokoro (Kokoro-FastAPI), Piper, macOSsay, any local command, and a deterministic mock voice. Mix them freely in one timeline. Speakers registry with layered voice settings. - Cheap iteration: a content-addressed TTS cache, dry runs that never call paid APIs (with estimated durations and per-provider character counts), bounded concurrency and retries with backoff.
- Music and sound effects: loops (seamless, or with loop crossfades), trims, fades with three curves, crossfades between clips, open-ended beds that end with an automatic fade-out tail.
- Sidechain ducking driven by the actual speech signal (or by the timeline), with attack, release, hold and lookahead.
- Loudness done properly: per-source BS.1770 normalization, then master normalization to a preset (podcast -16, streaming -14, EBU R128 broadcast -23, ATSC A/85 -24 LUFS) and an oversampled true-peak limiter. Lossy outputs are decoded and measured as delivered, with codec true-peak and loudness-drift compensation.
- Native DSP and encoders: wav, mp3 and flac with no ffmpeg; ogg, opus and m4a through ffmpeg when it is installed. 16/24-bit integer or 32-bit float, fixed-seed TPDF dither.
- Subtitles from the rendered audio: WebVTT, SRT, JSON with per-word timestamps, and a HyperFrames-compatible transcript; speaker labels; per-cue caption overrides.
- Side files: per-track stems, a deterministic manifest, and a self-contained HTML preview with the waveform, ducking envelopes and captions.
- Agent surfaces: machine-readable
--jsonreports fromvalidate,plan,render,providersandvoices, an MCP server that speaks both protocol eras, an Agent Skill, and a Claude Code plugin.
Quickstart
Install a prebuilt binary (checksum-verified; no Rust or C toolchain needed):
curl -fsSL https://raw.githubusercontent.com/user-github-me/soniccraft/main/install.sh | sh # macOS, Linux: ~/.local/bin
brew install user-github-me/soniccraft/soniccraft # Homebrew (macOS, Linux)
irm https://raw.githubusercontent.com/user-github-me/soniccraft/main/install.ps1 | iex # Windows
scoop bucket add soniccraft https://github.com/user-github-me/scoop-soniccraft; scoop install soniccraft
With Rust: cargo binstall soniccraft downloads the same release binary, and cargo install --locked soniccraft
builds it from crates.io (requirements below).
From source. Requirements: Rust 1.89 or newer (rustup) and a C toolchain for the bundled LAME MP3
encoder (cc and make: Xcode Command Line Tools on macOS, build-essential on Linux; on Windows, the
Visual Studio Build Tools, plus AWS_LC_SYS_PREBUILT_NASM=1 in the environment unless NASM is installed).
ffmpeg is optional (ogg/opus/m4a output, extra input formats). Prebuilt binaries need none of this: see
below.
git clone https://github.com/user-github-me/soniccraft
cd soniccraft
cargo install --locked --path crates/soniccraft-cli # installs `soniccraft` and `soniccraft-mcp` into ~/.cargo/bin
soniccraft --version
--locked builds with the dependency versions in Cargo.lock, the ones CI tests.
Prebuilt binaries. Each GitHub release has archives for
Linux (x86_64-unknown-linux-gnu, aarch64-unknown-linux-gnu; glibc 2.35 or newer), macOS
(aarch64-apple-darwin, x86_64-apple-darwin; macOS 11 or newer) and Windows (x86_64-pc-windows-msvc).
soniccraft-v<version>-<target>.tar.gz (.zip for Windows) holds soniccraft, soniccraft-mcp, the
license texts and THIRD-PARTY-LICENSES.txt. The -no-mp3 archives leave out the LGPL MP3 encoder; mp3
output then needs ffmpeg. Check a download with sha256sum --check --ignore-missing SHA256SUMS (on macOS:
shasum -a 256 --check --ignore-missing SHA256SUMS). The binaries are not notarized: on macOS a browser
download is quarantined; clear it with xattr -d com.apple.quarantine soniccraft soniccraft-mcp (curl and the
npm launcher do not set the attribute).
Container image. Each release is also published as
ghcr.io/user-github-me/soniccraft
(linux/amd64 and linux/arm64, with ffmpeg for ogg, opus and m4a output):
docker run --rm -v "$PWD":/work ghcr.io/user-github-me/soniccraft render timeline.yaml
docker run -i --rm -v "$PWD":/work ghcr.io/user-github-me/soniccraft mcp --base-dir /work # MCP on stdio
Files written to the mounted directory belong to uid 1000; add --user "$(id -u):$(id -g)" to write them as
yourself. Pass API keys with -e ELEVENLABS_API_KEY (never in the timeline). macOS say is not available in
the container: use the mock voice, a cloud provider or a local server. docker build -t soniccraft . builds the
same image from source.
Render the demo with zero API keys:
# macOS: Samantha and Daniel from macOS `say`, plus the built-in mock voice
soniccraft render examples/offline-demo/timeline.yaml --preview
# any OS: the same timeline with mock voices only
soniccraft render examples/offline-demo/timeline.mock.yaml
The macOS run writes examples/offline-demo/offline-demo.wav with .vtt, .srt, .words.json and
.transcript.json subtitles, a .manifest.json, and offline-demo.preview.html (open it in a browser to
see the waveform, the ducking envelope and the captions). The full loop an agent follows:
soniccraft validate examples/offline-demo/timeline.mock.yaml # errors, warnings, fix hints
soniccraft plan examples/offline-demo/timeline.mock.yaml # dry run: layout, ducking, cost
soniccraft render examples/offline-demo/timeline.mock.yaml --json # one JSON report on stdout
With API keys and a local Kokoro server, render the README timeline:
export ELEVENLABS_API_KEY=... # never put keys in timelines
docker run -d -p 8880:8880 ghcr.io/remsky/kokoro-fastapi-cpu:latest
soniccraft render examples/tech-briefing/timeline.yaml
Start your own project from a template (writes the timeline and generated stand-ins for its audio assets):
soniccraft init my-episode --template two-person-podcast
CLI
soniccraft validate <TIMELINE> [--json] [--check-credentials]
soniccraft plan <TIMELINE> [--json] (alias: dry-run)
soniccraft render <TIMELINE> [-o PATH] [--format F] [--subtitles] [--stems] [--manifest] [--preview]
[--no-cache] [--cache-dir DIR] [--jobs N] [--json]
soniccraft schema [-o FILE]
soniccraft init [DIR] [--template NAME] [--list] [--no-assets] [--force]
soniccraft providers [--json]
soniccraft voices <PROVIDER> [--json]
soniccraft cache <info|clear> [--cache-dir DIR] [TIMELINE]
soniccraft mcp [--base-dir DIR] [--allow-command]
| Command | What it does |
|---|---|
validate |
Parses and checks the timeline and its environment (assets exist and decode, credentials present and allowed to go to their host, local TTS servers answer, macOS voices and piper models installed, ffmpeg when needed, the render fits the memory budget, cache status). --check-credentials also verifies API keys with a cheap authenticated request. |
plan / dry-run |
Validates, then lays out the timeline with cached or estimated durations (mock voices exactly): item times, overlap moves, ducking regions, characters to synthesize per provider, and an ASCII diagram. Never calls a paid API. |
render |
The full pipeline. -o sets the output path (its extension picks the format only when output.format is not set: for a format: wav timeline write -o out.mp3 --format mp3); --format is one of wav, mp3, flac, ogg, opus, m4a and overrides both. --subtitles, --stems and --manifest switch on those exports (like the output.export_* fields); --preview writes <stem>.preview.html. --no-cache ignores cached TTS audio (fresh results are still cached); --cache-dir picks the cache; --jobs N limits concurrent synthesis requests (default 4). Outputs are put in place only when the render succeeds, and existing files that are not SonicCraft outputs are never overwritten. |
schema |
Prints the timeline JSON Schema, or writes it with -o. |
init |
Writes DIR/timeline.yaml (default DIR: the current directory) from a template, plus the audio assets it references, generated procedurally (a seamless synth loop and three SFX, deterministic and royalty-free). Templates (--list): offline-demo (default on macOS: system voices + mock), offline-demo-mock (default elsewhere: renders anywhere), tech-briefing, two-person-podcast, voiceover-with-music, dialogue-crosstalk. --no-assets writes only the timeline; existing files are never overwritten without --force. |
providers |
Lists built-in providers with availability, credential status and default voices. |
voices |
Lists the voices of one provider (may call its API); the provider name ignores case and -/_. |
cache |
info shows the TTS cache location, entry count and size; clear empties it. |
mcp |
Runs the MCP server on stdio. --allow-command (or SONICCRAFT_ALLOW_COMMAND=1) lets timelines run command providers, which are refused by default. |
Exit codes: 0 success, 1 timeline invalid (error diagnostics), 2 usage error, 3 runtime or render
failure, 130 interrupted. With --json, stdout contains exactly one JSON document (the report, or
{"message", "diagnostics", "hint"} when the command fails, usage errors included); progress and logs go to
stderr. A render stopped by its environment or options (a missing key, a provider that cannot run, a voice
that is not installed, the memory budget) also exits 1 and ends with error: render stopped: N errors.
Timelines (files, FIFOs, - for stdin) are read up to the 5 MB document limit and no further. Run
soniccraft <command> --help for every option.
Вопросы о SonicCraft MCP
Как добавить SonicCraft MCP в Claude Code?
Выполните claude mcp add --env CARTESIA_API_KEY=<YOUR_CARTESIA_API_KEY> --env ELEVENLABS_API_KEY=<YOUR_ELEVENLABS_API_KEY> --env OPENAI_API_KEY=<YOUR_OPENAI_API_KEY> soniccraft -- docker run -i --rm ghcr.io/user-github-me/soniccraft:0.1.0 в терминале. Добавьте --scope user, чтобы сервер был доступен во всех проектах.
Как добавить SonicCraft MCP в Cursor?
Откройте ~/.cursor/mcp.json и добавьте сервер в mcpServers, используя конфигурацию Cursor из раздела установки выше.
Что может создавать SonicCraft?
Он объединяет TTS-речь, музыкальный фон и звуковые эффекты в аудио с применением дакинга и мастерингом громкости, а также генерирует соответствующие субтитры в форматах WebVTT/SRT.
Как избежать оплаты API-запросов TTS во время тестирования?
Вы можете использовать команду soniccraft plan для бесплатного пробного запуска, который оценит тайминги и количество символов без вызова каких-либо API.
Какие провайдеры TTS поддерживаются?
Поддерживаются ElevenLabs, совместимые с OpenAI серверы, Cartesia, Kokoro, Piper, команда say в macOS и локальные команды.
Выполняется ли выравнивание уровня аудио автоматически?
Да, система нормализует голос до -20 LUFS и выполняет мастеринг финального микса до целевого значения (например, -16 LUFS) в соответствии со стандартами EBU R128.