Smallest AI MCP Server

What is Smallest AI MCP Server?

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.

How to use Smallest AI MCP Server?

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.

Key features of Smallest AI MCP Server

• List and preview voices from the Waves platform
• Synthesize text into high-quality WAV audio files
• Create instant and professional voice clones
• List and delete cloned voices

Use cases of Smallest AI MCP Server

• Integrate voice synthesis into LLM‑powered conversational agents
• Generate audio responses from text in applications
• Manage a library of cloned voices for personal or professional use

FAQ from Smallest AI MCP Server

What runtime does Smallest AI MCP Server require?

It requires Python 3.11+ and dependencies installed from requirements.txt. Docker is also supported.

How do I configure the API key for Smallest AI MCP Server?

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.

Is Docker supported for Smallest AI MCP Server?

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.

What is the license for Smallest AI MCP Server?

MIT.