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le plus petit-ai-MCP

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2025-04-14

Server ModelContextProtocol (MCP) de qualité de production pour la plus petite plate-forme d'ondes AI. Expose toutes les fonctionnalités de clonage TTS et de clonage vocales en tant qu'outils et ressources MCP. Prêt pour le déploiement.

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Smallest AI MCP Server

Production-grade ModelContextProtocol (MCP) server for the Waves Text-to-Speech and Voice Cloning platform.
Fast, portable, and ready for real-world AI voice workflows.

🚀 Overview

Smallest AI MCP Server provides a seamless bridge between the powerful Waves TTS/Voice Cloning API and any MCP-compatible LLM or agent. It is designed for speed, security, and ease of deployment.

✨ Features

  • 🎤 List and preview voices — Instantly fetch all available voices from Waves.
  • 🗣️ Synthesize speech — Convert text to 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.

⚡ Quickstart

# 1. Clone the repo
$ 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 your API key
$ cp .env.example .env
# Edit .env and add your real 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 \
    -e WAVES_API_KEY=your_waves_api_key \
    smallest-ai-mcp

🛠️ Tech Stack

🏗️ Production & Deployment

  • Environment: Copy .env.example to .env and add your API key. Never commit secrets to git.
  • Dependencies: Install with pip install -r requirements.txt (Python 3.11+).
  • Docker: Use the provided Dockerfile for containerization.
  • Security: API keys are required at startup and never exposed.
  • License: MIT (see LICENSE).

🤝 Contributing

Pull requests and issues are welcome! Please open an issue to discuss major changes.

👤 Maintainer

📄 License

MIT

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    Reviews

    2.6 (8)
    Avatar
    user_oqzEagny
    2025-04-24

    I recently started using smallest-ai-mcp by Akshay-Sisodia and I am thoroughly impressed. This application is sleek, user-friendly, and impressively powerful given its size. It has greatly simplified my workflow and the responsive design makes it a joy to use. Highly recommend this to anyone looking for efficient AI solutions without the bulk.

    Avatar
    user_7RUtm6nF
    2025-04-24

    As an avid user of the smallest-ai-mcp by Akshay-Sisodia, I must say I'm thoroughly impressed with its compact yet efficient performance. This tool has drastically streamlined my workflow, offering seamless integration and smart automation right from the get-go. The user-friendly interface paired with its powerful capabilities makes it an absolute must-have for anyone looking to enhance their AI projects. Highly recommend!

    Avatar
    user_mUWYNFcg
    2025-04-24

    As a devoted user of smallest-ai-mcp, I am thoroughly impressed with its performance and efficiency. Akshay-Sisodia has truly outdone himself with this incredible product. It's compact yet powerful, meeting all my computing needs without taking up much space. The seamless integration and user-friendly interface have made it my go-to tool for managing my tasks. Highly recommended for anyone looking for a powerful and versatile MCP tool!

    Avatar
    user_A3Q5bCiE
    2025-04-24

    As a dedicated user of smallest-ai-mcp by Akshay-Sisodia, I am thoroughly impressed with its seamless functionality and compactness. It offers powerful AI capabilities in a user-friendly interface. The ease of navigation and the robust performance make it an indispensable tool for my daily tasks. Highly recommend it for anyone seeking a reliable and efficient AI application.

    Avatar
    user_pvp3ZMW6
    2025-04-24

    As a dedicated user of smallest-ai-mcp by Akshay-Sisodia, I'm thoroughly impressed by this innovative application. It seamlessly integrates AI capabilities in a compact yet powerful package, offering top-notch performance without compromising on speed or efficiency. The user-friendly interface and exceptional functionality make it an indispensable tool for everyday tasks. Highly recommended!

    Avatar
    user_Gmq1rSen
    2025-04-24

    I recently started using the smallest-ai-mcp developed by Akshay-Sisodia, and I'm thoroughly impressed. This AI-driven product is highly efficient and easy to integrate into existing frameworks. The seamless user experience and detailed documentation make it accessible even for those who are new to AI applications. Highly recommended for anyone looking to leverage cutting-edge AI technology!

    Avatar
    user_NfZzOh7E
    2025-04-24

    As a dedicated user of the smallest-ai-mcp developed by Akshay-Sisodia, I am thoroughly impressed by its incredible efficiency and user-friendly interface. This solution has significantly enhanced my productivity by automating complex tasks effortlessly. I highly recommend it to anyone looking for a reliable AI tool to streamline their workflows. Outstanding job, Akshay-Sisodia!

    Avatar
    user_7nCnC0MK
    2025-04-24

    I've recently started using the "smallest-ai-mcp" by Akshay-Sisodia, and it's been a game-changer for my daily tasks. The compact size and efficiency make it an invaluable tool. Highly recommend it for anyone needing reliable, small-scale AI solutions!