Smallest Ai MCP

🚀 Smallest AI MCP Server

A production-grade ModelContextProtocol (MCP) server for the Waves text-to-speech and voice cloning platform. It's fast, lightweight, and ready for real-world AI voice workflows.

🚀 Quick Start

Manual Installation

# 1. Clone the repository
$ git clone https://github.com/Akshay-Sisodia/smallest-ai-mcp.git
$ cd smallest-ai-mcp

# 2. Install dependencies
$ pip install -r requirements.txt

# 3. Configure the API key
$ cp .env.example .env
# Edit .env and add your actual WAVES_API_KEY

# 4. Start the server
$ python server.py

Docker Usage

# Build the Docker image
$ docker build -t smallest-ai-mcp .

# Run the container
$ docker run -p 8000:8000 --env WAVES_API_KEY=your_api_key_here smallest-ai-mcp

✨ Features

• 🎤 List and preview voices — Instantly access all available voices on Waves.
• 🗣️ Synthesize speech — Convert text into high-quality WAV audio files.
• 👤 Clone voices — Create instant/professional voice clones.
• 🗂️ Manage clones — List and delete your cloned voices.

All features are implemented as MCP tools, with no placeholders or stubs.

🔧 Overview

The Smallest AI MCP server provides a fast bridge between the powerful Waves TTS/voice cloning API and any MCP-compatible LLM or agent. It's designed for speed, security, and ease of deployment.