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
7.9K

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.

Alternatives

R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
8.9K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
8.4K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.2K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
9.6K
5 points
R
Runno
Runno is a collection of JavaScript toolkits for securely running code in multiple programming languages in environments such as browsers and Node.js. It achieves sandboxed execution through WebAssembly and WASI, supports languages such as Python, Ruby, JavaScript, SQLite, C/C++, and provides integration methods such as web components and MCP servers.
TypeScript
6.6K
5 points
N
Netdata
Netdata is an open-source real-time infrastructure monitoring platform that provides second-level metric collection, visualization, machine learning-driven anomaly detection, and automated alerts. It can achieve full-stack monitoring without complex configuration.
Go
9.7K
5 points
M
MCP Server
The Mapbox MCP Server is a model context protocol server implemented in Node.js, providing AI applications with access to Mapbox geospatial APIs, including functions such as geocoding, point - of - interest search, route planning, isochrone analysis, and static map generation.
TypeScript
8.8K
4 points
U
Uniprof
Uniprof is a tool that simplifies CPU performance analysis. It supports multiple programming languages and runtimes, does not require code modification or additional dependencies, and can perform one-click performance profiling and hotspot analysis through Docker containers or the host mode.
TypeScript
8.3K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
30.3K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
18.0K
4.5 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
63.4K
4.3 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
20.9K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
28.0K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
57.9K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
19.9K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
42.5K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase