Private
最小的-AI-MCP
2025-04-14
最小的AI波平台的生产级ModelContextProtocol（MCP）服务器。公开所有波浪TT和语音克隆功能作为MCP工具和资源。准备部署。
3 years
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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
- Python 3.11+
- Starlette, requests, httpx
- modelcontextprotocol/mcp-sdk
🏗️ Production & Deployment
-
Environment: Copy
.env.exampleto.envand 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
- Akshay Sisodia (GitHub)
📄 License
MIT
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Reviews
2.6
(8)
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.
user_7RUtm6nF
2025-04-24
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user_mUWYNFcg
2025-04-24
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user_A3Q5bCiE
2025-04-24
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user_pvp3ZMW6
2025-04-24
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user_Gmq1rSen
2025-04-24
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user_NfZzOh7E
2025-04-24
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user_7nCnC0MK
2025-04-24
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