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# Brainiall Speech AI - MCP Server

MCP server providing AI-powered pronunciation assessment, speech-to-text, and text-to-speech tools via [Brainiall](https://brainiall.com) Speech AI APIs.

## Tools

| Tool | Description |
|------|-------------|
| `assess_pronunciation` | Score how accurately a speaker pronounced a given text (0-100), with per-word and phoneme-level feedback |
| `transcribe_speech` | Transcribe speech audio into text with automatic language detection |
| `synthesize_speech` | Convert text to natural-sounding speech audio (MP3) |
| `list_voices` | List all available text-to-speech voices |

## Prerequisites

Get your free API key at **[app.brainiall.com](https://app.brainiall.com)**.

## Installation

### Using pip

```bash
pip install fastmcp httpx
```

### Using Docker

```bash
docker build -t brainiall-mcp .
docker run -e BRAINIALL_API_KEY=your-key -p 8000:8000 brainiall-mcp
```

## Configuration

Set the `BRAINIALL_API_KEY` environment variable:

```bash
export BRAINIALL_API_KEY=your-api-key
```

### Claude Desktop

Add to your `claude_desktop_config.json`:

```json
{
  "mcpServers": {
    "brainiall-speech-ai": {
      "command": "fastmcp",
      "args": ["run", "server.py"],
      "env": {
        "BRAINIALL_API_KEY": "your-api-key"
      }
    }
  }
}
```

### Cursor / VS Code

Add to your MCP settings:

```json
{
  "mcpServers": {
    "brainiall-speech-ai": {
      "command": "fastmcp",
      "args": ["run", "/path/to/server.py"],
      "env": {
        "BRAINIALL_API_KEY": "your-api-key"
      }
    }
  }
}
```

### Streamable HTTP (Docker / Remote)

```bash
docker run -e BRAINIALL_API_KEY=your-key -p 8000:8000 brainiall-mcp
```

Connect your MCP client to `http://localhost:8000/mcp`.

## Running Locally

```bash
# stdio (default for Claude Desktop / Cursor)
BRAINIALL_API_KEY=your-key fastmcp run server.py

# streamable-http
BRAINIALL_API_KEY=your-key fastmcp run server.py --transport streamable-http --port 8000
```

## API Reference

All tools communicate with the Brainiall Speech AI API at `https://api.brainiall.com`. Full API documentation is available at [app.brainiall.com](https://app.brainiall.com).

### assess_pronunciation

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `text` | string | Yes | Reference text the user should have read |
| `audio_base64` | string | Yes | Base64-encoded audio (WAV or MP3) |
| `language` | string | No | Language code, default `en-US` |

### transcribe_speech

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `audio_base64` | string | Yes | Base64-encoded audio (WAV, MP3, WEBM, OGG) |
| `language` | string | No | Language hint for transcription |

### synthesize_speech

| Parameter | Type | Required | Description |
|-----------|------|----------|-------------|
| `text` | string | Yes | Text to convert to speech |
| `voice` | string | No | Voice ID, default `alloy` |
| `speed` | float | No | Speed multiplier (0.5-2.0), default `1.0` |

### list_voices

No parameters. Returns available voice options with IDs and supported languages.

## License

MIT

## Links

- [Brainiall](https://brainiall.com) - AI model provider
- [Get API Key](https://app.brainiall.com) - Sign up and get your free API key

TDQS

A3.9/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: assess_pronunciation evaluates speech quality, list_voices enumerates TTS options, synthesize_speech generates audio, and transcribe_speech converts audio to text. The descriptions clearly differentiate these functions, making misselection unlikely.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern with snake_case (e.g., assess_pronunciation, synthesize_speech). The verbs (assess, list, synthesize, transcribe) are descriptive and aligned with the actions, creating a predictable and readable naming convention throughout.

Tool Count5/5

With 4 tools, this server is well-scoped for speech and audio processing. Each tool earns its place by covering distinct aspects: pronunciation assessment, voice listing, speech synthesis, and transcription. This count is appropriate for the domain, avoiding bloat or thin coverage.

Completeness4/5

The tool set covers core speech processing workflows: synthesis, transcription, and pronunciation feedback. Minor gaps exist, such as no explicit tools for voice customization or audio editing, but agents can likely work around these with the provided tools. The surface is largely complete for the stated purpose.

Maintenance

ActivityInactive
ResponsivenessNo issues