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# supertone-mcp

<!-- ⚠️ SERVICE DISCONTINUATION NOTICE — paste at the very top of the README, right below the title -->

> [!CAUTION]
> ## ⚠️ Service Discontinuation Notice
>
> **The Supertone API will be permanently shut down on August 31, 2026.**
> After this date, all API requests will stop being served and this package will no longer work.
>
> 👉 For the full timeline, refund policy, and details, see the **[End-of-Life Guide](https://docs.supertoneapi.com/en/docs/sunset)**.



<!-- mcp-name: io.github.supertone-inc/supertone-mcp -->

A **composable MCP toolkit** for the [Supertone](https://supertone.ai) TTS API. Rather than a single "speak this text" command, it exposes Supertone's SDK as a set of building-block tools — synthesis, voice discovery, preview, duration/credit prediction, usage tracking, and full voice-cloning CRUD — that an LLM assembles to fulfill a request. Works in Claude Desktop, Cursor, or any MCP-compatible client.

[![supertone-inc/supertone-mcp MCP server](https://glama.ai/mcp/servers/supertone-inc/supertone-mcp/badges/score.svg)](https://glama.ai/mcp/servers/supertone-inc/supertone-mcp)

Covers Korean, English, Japanese, and **31 languages** total. Speed (0.5x–2.0x), pitch shift (-24 to +24 semitones), emotion styles, per-call output mode, streaming, and model selection.

## Features

**Synthesis**
- **`text_to_speech`** — Convert text to audio. Per-call control of `output_mode` (files / resources / both), `autoplay`, `streaming`, `model`, plus `include_phonemes` / `normalized_text`. Long text is auto-chunked by the SDK.
- **`predict_duration`** — Estimate audio length (and credit cost) without synthesizing.

**Voice discovery (preset)**
- **`search_voice`** — Filter the catalog by language, gender, age, use_case, style, model, name, or description.
- **`get_voice`** — Full detail for one voice.
- **`preview_voice`** — Sample audio URLs for a voice (filterable by language/style/model).

**Custom voice cloning**
- **`clone_voice`** — Create a cloned voice from a local WAV/MP3 (≤3MB).
- **`search_custom_voice`** — List/filter cloned voices.
- **`get_custom_voice`** — Full detail for one cloned voice.
- **`edit_custom_voice`** — Update name and/or description.
- **`delete_custom_voice`** — Permanently delete (irreversible).

**Audio assembly**
- **`merge_audio_files`** — Concatenate two or more local audio files (mp3/wav) into one via a bundled ffmpeg. Supports plain concat, silence gaps between clips (`gap_ms`), or crossfade blending (`crossfade_ms`). Output format auto-detected (mixed → mp3) or forced via `output_format`. No system ffmpeg required.

**Usage & credits**
- **`get_credit_balance`** — Remaining credits.
- **`get_usage_history`** — Usage over a time window.
- **`get_voice_usage`** — Usage for a specific voice.

## Breaking changes & migration (0.2.0)

0.2.0 moves behavior control **out of environment variables and into per-call tool parameters** — so the LLM decides per request, not the server config.

| Before (env var) | After (per-call parameter) | Note |
|------------------|----------------------------|------|
| `SUPERTONE_MCP_OUTPUT_MODE=files\|resources\|both` | `text_to_speech(output_mode=...)` | Default still `files` |
| `SUPERTONE_MCP_AUTOPLAY=true` | `text_to_speech(autoplay=...)` | **Default changed `true` → `false`** (playback is now explicit) |
| *(always streamed)* | `text_to_speech(streaming=...)` | **New, default `false`** (one-shot). `streaming=true` requires `model="sona_speech_1"` |

Other changes:
- **Default model** changed `sona_speech_1` → **`sona_speech_2_flash`**.
- **`list_voices` was removed** (since the discovery release) and replaced by `search_voice` — call it with no arguments to reproduce the old "list everything" behavior.
- No more hard 300-character limit — longer text is auto-chunked by the SDK (credit/latency scale with length).

If you previously set `SUPERTONE_MCP_OUTPUT_MODE` or `SUPERTONE_MCP_AUTOPLAY`, remove them from your client config and pass `output_mode` / `autoplay` per call instead. (The server prints a one-time stderr notice if it sees the removed vars.)

## Installation

```bash
# Using uvx (recommended)
uvx supertone-mcp

# Using pip
pip install supertone-mcp
```

## Configuration

### Claude Desktop

Add to `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "supertone-tts": {
      "command": "uvx",
      "args": ["supertone-mcp"],
      "env": {
        "SUPERTONE_API_KEY": "your-api-key-here"
      }
    }
  }
}
```

### Cursor

Add to your Cursor MCP settings (same JSON shape as above).

## Environment Variables

Only authentication and stable defaults are configured via the environment — all behavior is controlled per call.

| Variable | Required | Default | Description |
|----------|----------|---------|-------------|
| `SUPERTONE_API_KEY` | Yes | — | Your Supertone API key |
| `SUPERTONE_MCP_VOICE_ID` | No | preset voice (Aiden, multilingual) | Default `voice_id` for `text_to_speech` / `predict_duration` (override per call) |
| `SUPERTONE_OUTPUT_DIR` | No | `~/supertone-tts-output/` | Directory where audio files are saved (used by `output_mode=files`/`both`) |

> Removed in 0.2.0: `SUPERTONE_MCP_OUTPUT_MODE` and `SUPERTONE_MCP_AUTOPLAY` — see [Migration](#breaking-changes--migration-020).

### Output modes (`text_to_speech` `output_mode`)

| Mode | Returns | Use when |
|------|---------|----------|
| `files` *(default)* | Plain text with the saved file path + metadata | You want the file on disk |
| `resources` | MCP `AudioContent` + `TextContent` (no file written) | The client renders audio inline (e.g., Claude.ai chat) |
| `both` | File on disk **and** `AudioContent`/`TextContent` | You want both — preview inline, keep the file |

## Usage Examples

The MCP client routes natural-language requests across these tools — the value of the toolkit is **composition**: the LLM chains several tools to satisfy one request.

### Example 1 — Discover → preview → estimate cost → synthesize

> "Find a calm Korean female voice, let me hear a sample, check the cost, then make this announcement as an mp3."

The LLM assembles:
```
search_voice(language="ko", gender="female", style="neutral")   # find candidates
  → preview_voice(voice_id)                                       # sample URLs to confirm the voice
  → predict_duration(text, voice_id) + get_credit_balance()       # gauge cost before spending
  → text_to_speech(text, voice_id, output_format="mp3",
                   output_mode="files")                           # synthesize
```

### Example 2 — Clone my voice → use it right away

> "Make a cloned voice from ~/recordings/sample.wav named MyVoice, then read this greeting with it and play it for me."

The LLM assembles:
```
clone_voice(name="MyVoice", audio_path="~/recordings/sample.wav")   # create the cloned voice
  → get_custom_voice(voice_id)                                       # confirm it was created
  → text_to_speech(text, voice_id=<cloned>, autoplay=true)           # synthesize, then play immediately
```

> `autoplay` is a per-call parameter (default `false`), so playback happens only when explicitly requested.

## Tool Parameters

### `text_to_speech`

| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| `text` | string | Yes | — | Text to convert (long text is auto-chunked by the SDK) |
| `voice_id` | string | No | env or preset | Voice identifier (browse via `search_voice`) |
| `language` | string | No | `ko` | Language code — one of 31 (`ko`, `en`, `ja`, …) |
| `output_format` | string | No | `mp3` | `mp3` or `wav` |
| `model` | string | No | `sona_speech_2_flash` | `sona_speech_1`, `sona_speech_2`, `sona_speech_2_flash`, `sona_speech_2t`, `sona_speech_3t`, `supertonic_api_1`, `supertonic_api_3` |
| `speed` | float | No | `1.0` | 0.5–2.0 |
| `pitch_shift` | int | No | `0` | -24 to +24 semitones |
| `style` | string | No | — | Emotion style (varies by voice) |
| `output_mode` | string | No | `files` | `files`, `resources`, or `both` (see [Output modes](#output-modes-text_to_speech-output_mode)) |
| `autoplay` | bool | No | `false` | Play the audio locally after synthesis (macOS `afplay`) |
| `streaming` | bool | No | `false` | Stream synthesis. Only supported by `model="sona_speech_1"` |
| `include_phonemes` | bool | No | `false` | Return phoneme timing data alongside the audio |
| `normalized_text` | string | No | — | Pre-normalized text (only used by `sona_speech_2` / `sona_speech_2_flash`) |

### `predict_duration`

Same core parameter schema as `text_to_speech` (long text auto-chunked). Returns `"Predicted duration: 2.34s (credit usage is proportional to duration)."`.

### `search_voice`

All parameters optional. With no filters → full catalog. With any filter → first response line is `Filters applied: ...`.

| Parameter | Type | Description |
|-----------|------|-------------|
| `language` | string | e.g., `ko`, `en`, `ja` |
| `gender` | string | e.g., `male`, `female` |
| `age` | string | e.g., `young_adult`, `child` |
| `use_case` | string | e.g., `narration`, `advertisement` |
| `style` | string | e.g., `neutral`, `happy` |
| `model` | string | e.g., `sona_speech_2_flash` |
| `name` | string | partial match |
| `description` | string | partial match |

### `get_voice` / `preview_voice`

| Tool | Required | Optional |
|------|----------|----------|
| `get_voice` | `voice_id` | — |
| `preview_voice` | `voice_id` | `language`, `style`, `model` (filter samples) |

### `clone_voice`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `name` | string | Yes | Display name (non-empty) |
| `audio_path` | string | Yes | Local WAV or MP3 path (≤3MB). Supports `~` expansion |
| `description` | string | No | Optional note |

### Custom voice CRUD

| Tool | Required | Optional |
|------|----------|----------|
| `search_custom_voice` | — | `name`, `description` (partial match) |
| `get_custom_voice` | `voice_id` | — |
| `edit_custom_voice` | `voice_id` | `name`, `description` (at least one required) |
| `delete_custom_voice` | `voice_id` | — *(IRREVERSIBLE)* |

### Usage & credits

| Tool | Required | Optional |
|------|----------|----------|
| `get_credit_balance` | — | — |
| `get_usage_history` | — | — (reports a recent default window) |
| `get_voice_usage` | `voice_id` | — |

### `merge_audio_files`

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `input_paths` | string[] | Yes | Two or more local mp3/wav paths (`~` expansion supported). A single file is returned as-is |
| `gap_ms` | int | No | Silence (ms) inserted at each junction. Default `0`. Mutually exclusive with `crossfade_ms` |
| `crossfade_ms` | int | No | Crossfade blend (ms) at each junction. Default `0`. Mutually exclusive with `gap_ms` |
| `output_format` | string | No | Force `mp3` or `wav`. If omitted: all-same-ext → that ext; mixed → `mp3` |

## Development

```bash
# Clone and install
git clone https://github.com/supertone-inc/supertone-mcp.git
cd supertone-mcp
uv sync

# Run tests
uv run pytest -q

# Run with coverage
uv run pytest --cov=src --cov-report=term-missing
```

## License

MIT

TDQS

A4.2/5.0

Scored across 14 tools

Disambiguation5/5

Each tool targets a distinct action or resource: voice cloning, custom voice CRUD, catalog browsing, TTS, duration prediction, audio merging, and usage tracking. No two tools have overlapping purposes; even the get functions are clearly differentiated by domain (custom vs. catalog).

Naming Consistency5/5

All tools use a consistent snake_case verb_noun pattern (e.g., clone_voice, delete_custom_voice, get_credit_balance). This makes it easy for an agent to infer action and target from the name alone.

Tool Count5/5

With 14 tools, the server covers all core functionalities without being bloated. Each tool serves a necessary role in voice cloning, synthesis, audio manipulation, and account management. The number is well-scoped for the domain.

Completeness5/5

The tool surface covers the full lifecycle for custom voices (create, read, update, delete, search), catalog exploration, TTS with duration estimation, audio merging, and usage tracking. There are no obvious gaps that would hinder typical workflows.

Maintenance

ActivityStale
ResponsivenessUnresponsive