Edge TTS MCP is a Model Context Protocol server that leverages Microsoft Edge's TTS capabilities to provide high-quality, lifelike speech synthesis. It supports multiple voices, customizable speech parameters, and optional audio saving, making it suitable for AI assistants, chatbots, and other applications requiring speech output.
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Created by:
Apr 09 2025
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What is Edge TTS MCP?
This MCP (Model Context Protocol) server integrates the Microsoft Edge Browser's Text-to-Speech (TTS) technology to enable AI clients to read text aloud with natural, expressive voices. It supports various voice options, customizable speed, pitch, and volume, and can save generated audio files. Designed for easy integration, it works seamlessly with MCP-compatible clients like Cline. The server requires Node.js or Bun and environment configuration to manage voice and speech parameters, ideal for developers seeking to add speech capabilities to AI assistants, chatbots, or any application needing high-quality speech synthesis.
Who will use Edge TTS MCP?
- AI developers
- Chatbot creators
- Voice assistant developers
- Research and data scientists
- Multilingual application developers
How to use the Edge TTS MCP?
- Step1: Clone the repository from GitHub
- Step2: Install dependencies using bun or npm
- Step3: Configure environment variables (VOICE, RATE, VOLUME, PITCH, SAVE_AUDIO)
- Step4: Start the server with `bun run start`
- Step5: Integrate with MCP-compatible clients like Cline or other AI tools
- Step6: Send text input through the `speech_text_aloud` tool to generate speech
Edge TTS MCP's Core Features & Benefits
The Core Features
- Generate lifelike speech from text
- Support for multiple voice options
- Customizable speech parameters
- Optional audio file saving
- Easy MCP integration
The Benefits
- High-quality natural speech output
- Flexible customization for diverse use cases
- Supports multiple languages and voices
- Seamless integration with AI applications
- Audio output can be saved for later use
Edge TTS MCP's Main Use Cases & Applications
- Adding speech synthesis to AI assistants and chatbots
- Creating multilingual voice applications
- Enhancing accessibility with text-to-speech features
- Research in speech synthesis and voice customization
- Integrating speech output in educational tools
FAQs of Edge TTS MCP
Developer
- Hwenyi