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Brainiall MCP Server

Communauté Médias et design

Speech tools: pronunciation assessment with phoneme-level feedback, speech-to-text with language detection and text-to-speech with multiple voices.

Code source Documentation

Installation

Les étapes d'installation sont dans la documentation ci-dessous. Documentation

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Brainiall Speech AI - MCP Server
  2. Tools
  3. Prerequisites
  4. Installation
  5. Configuration
  6. Running Locally
  7. API Reference
  8. License
  9. Links

Brainiall Speech AI - MCP Server

MCP server providing AI-powered pronunciation assessment, speech-to-text, and text-to-speech tools via Brainiall Speech AI APIs.

Tools

ToolDescription
assess_pronunciationScore how accurately a speaker pronounced a given text (0-100), with per-word and phoneme-level feedback
transcribe_speechTranscribe speech audio into text with automatic language detection
synthesize_speechConvert text to natural-sounding speech audio (MP3)
list_voicesList all available text-to-speech voices

Prerequisites

Get your free API key at app.brainiall.com.

Installation

Using pip
pip install fastmcp httpx
Using Docker
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:

export BRAINIALL_API_KEY=your-api-key
Claude Desktop

Add to your claude_desktop_config.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:

{
  "mcpServers": {
    "brainiall-speech-ai": {
      "command": "fastmcp",
      "args": ["run", "/path/to/server.py"],
      "env": {
        "BRAINIALL_API_KEY": "your-api-key"
      }
    }
  }
}
Streamable HTTP (Docker / Remote)
docker run -e BRAINIALL_API_KEY=your-key -p 8000:8000 brainiall-mcp

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

Running Locally

# 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.

assess_pronunciation
ParameterTypeRequiredDescription
textstringYesReference text the user should have read
audio_base64stringYesBase64-encoded audio (WAV or MP3)
languagestringNoLanguage code, default en-US
transcribe_speech
ParameterTypeRequiredDescription
audio_base64stringYesBase64-encoded audio (WAV, MP3, WEBM, OGG)
languagestringNoLanguage hint for transcription
synthesize_speech
ParameterTypeRequiredDescription
textstringYesText to convert to speech
voicestringNoVoice ID, default alloy
speedfloatNoSpeed multiplier (0.5-2.0), default 1.0
list_voices

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

License

MIT

Questions fréquentes

Qu'est-ce que Brainiall MCP Server ?

Speech tools: pronunciation assessment with phoneme-level feedback, speech-to-text with language detection and text-to-speech with multiple voices.

Comment installer Brainiall MCP Server ?

Suivez les étapes d'installation de sa documentation, affichée sur cette page et dans son dépôt.

Brainiall MCP Server est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Brainiall MCP Server ?

Il est publié par fasuizu-br. AI.tn le référence sans le maintenir ni le recommander.

Issu des listes communautaires awesome-mcp-servers et du dépôt GitHub du projet. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.