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.
rating : 2 points
downloads : 22
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 processingIntegrates the MeCab tokenizer and various NLP tools, and supports text analysis and processing.
Mock modeAllows development and testing without an actual text-to-speech synthesis engine.
Docker supportProvides complete Docker support to simplify the deployment process.
Advantages and limitations
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 callRequest the text-to-speech synthesis service through an HTTP API.
Text analysisAnalyze text using the built-in NLP tools.
Batch processingProcess 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
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