Voicestudio MCP Server
V

Voicestudio MCP Server

Kokoro MCP Server is a text-to-speech synthesis service project developed based on Python. It provides a complete solution for development environment setup, dependency management, testing, and deployment, and supports Docker containerization deployment and multi-architecture building.
2 points
8.1K

What is Kokoro MCP Server?

Kokoro MCP Server is a multi-functional server that integrates text-to-speech synthesis (TTS) and natural language processing (NLP) functions. It provides standardized API interfaces to facilitate developers in integrating various AI services.

How to use Kokoro MCP Server?

You can access the server's functions through simple API calls, or use the provided Docker image for quick deployment. The server supports both development and production operating modes.

Applicable scenarios

Suitable for application scenarios that require text-to-speech synthesis and text processing, such as intelligent assistants, audiobook generation, customer service systems, etc.

Main features

Text-to-speech synthesis (TTS)
Supports high-quality Japanese and Chinese text-to-speech synthesis, and allows adjustment of speech rate and pitch.
Natural language processing
Integrates the MeCab tokenizer and various NLP tools, and supports text analysis and processing.
Mock mode
Allows development and testing without an actual text-to-speech synthesis engine.
Docker support
Provides complete Docker support to simplify the deployment process.
Advantages
Supports multi-platform deployment (Windows/Linux/macOS)
Provides detailed development documentation and sample code
Built-in debugging tools and logging system
Supports multi-architecture Docker images
Limitations
Additional configuration of MeCab is required in the Windows environment
Some functions rely on external API services
High-performance text-to-speech synthesis requires dedicated hardware support

How to use

Install dependencies
Ensure that Python 3.10+ and Docker are installed on the system.
Clone the repository
Get the latest server code.
Set up a virtual environment
Create an isolated Python environment.
Install dependency packages
Install all necessary Python packages.
Start the server
Run the server in development mode.

Usage examples

Text-to-speech synthesis API call
Request the text-to-speech synthesis service through an HTTP API.
Text analysis
Analyze text using the built-in NLP tools.
Batch processing
Process multiple lines of content in a text file.

Frequently asked questions

What should I do if the installation of MeCab fails on Windows?
How can I test without the Kokoro engine?
How can I troubleshoot if the Docker container fails to start?
How can I improve the quality of text-to-speech synthesis?

Related resources

GitHub repository
Project source code and latest version
Docker Hub
Official Docker image
API documentation
Complete API reference documentation
Demo video
Function demonstration and usage tutorial

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

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