What runtime does Smallest AI MCP Server require?
It requires Python 3.11+ and dependencies installed from `requirements.txt`. Docker is also supported.
@Akshay-Sisodia
基本情報
Production-grade ModelContextProtocol (MCP) server for the Smallest AI Waves platform. Exposes all Waves TTS and voice cloning features as MCP tools and resources. Ready for deployment.
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"smallest-ai-mcp": {
"command": "python",
"args": [
"server.py"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
It is a production-grade Model Context Protocol (MCP) server that bridges the Waves Text-to-Speech and Voice Cloning API with any MCP-compatible LLM or agent. It is designed for speed, security, and ease of deployment.
Clone the repository, install dependencies with pip install -r requirements.txt, copy .env.example to .env and add your WAVES_API_KEY, then start the server with python server.py. Alternatively, build and run the Docker image while passing the API key as an environment variable. All features are exposed as MCP tools.
It requires Python 3.11+ and dependencies installed from `requirements.txt`. Docker is also supported.
Copy `.env.example` to `.env`, edit it to add your real WAVES_API_KEY, and never commit secrets to git. You can also pass it via the Docker `-e` flag.
Yes, a Dockerfile is provided. Build with `docker build -t smallest-ai-mcp .` and run with `docker run -p 8000:8000 -e WAVES_API_KEY=your_key smallest-ai-mcp`.
MIT.

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