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kentaro

modelscope·@kentaro/aivis-speech-mcp

speech-processing0下载LocalModelScope

简介

暂无描述。

MCP Server 详情

来自 ModelScope 索引

AivisSpeech MCP Server

This is the implementation of the Model Context Protocol (MCP) server for AivisSpeech. This server works in conjunction with the AivisSpeech Engine to provide an interface for speech synthesis. Through the MCP protocol, applications such as AI assistants can easily utilize AivisSpeech's speech synthesis capabilities.

Overview

The AivisSpeech MCP Server provides the following features:

  • API endpoints compliant with the MCP protocol
  • High-quality speech synthesis through integration with the AivisSpeech Engine
  • Type-safe design using TypeScript
  • Simple setup and a highly scalable architecture

Prerequisites

  • Node.js 18.x or higher
  • npm 9.x or higher
  • AivisSpeech Engine (needs to be installed separately)

Installation

bash

Clone the repository

git clone https://github.com/kentaro/aivis-speech-mcp.git cd aivis-speech-mcp

Install dependencies

npm install

Build

npm run build

Set up environment variables

cp .env.sample .env

Edit the .env file to configure the necessary settings

Cursor MCP configuration

cp .cursor/mcp.json.sample .cursor/mcp.json

Replace "/path/to/aivis-speech-mcp/dist/index.js" in the mcp.json file

with the actual path to your project

Example: "C:/Users/username/path/to/aivis-speech-mcp/dist/index.js"

Environment Configuration

Configure the following settings in the .env file:

AivisSpeech API Configuration

AIVIS_SPEECH_API_URL=http://localhost:10101 # AivisSpeech Engine API endpoint

Speaker Configuration

AIVIS_SPEECH_SPEAKER_ID=888753760 # Default speaker ID

Cursor MCP Configuration

Configure the following settings in the .cursor/mcp.json file:

json { "mcpServers": { "AivisSpeech-MCP": { "command": "node", "args": ["/path/to/aivis-speech-mcp/dist/index.js"] } } }

Replace /path/to/aivis-speech-mcp/dist/index.js with the actual path to your project. For Windows, escape backslashes or use forward slashes. Example: "C:/Users/username/path/to/aivis-speech-mcp/dist/index.js"

Usage

Development Mode

During development, you can start the server with hot-reload functionality using the following command:

bash npm run dev

Build

To build for production, run the following command:

bash npm run build

Production Mode

After building, start the server in production mode using the following command:

bash npm start

Testing

To run tests, use the following command:

bash npm test

Architecture

The AivisSpeech MCP Server consists of the following components:

  • MCP Service: Provides a server compliant with the Model Context Protocol and handles requests from clients.
  • AivisSpeech Service: Communicates with the AivisSpeech Engine API to perform speech synthesis.

API Specification

The server provides API endpoints that comply with the MCP protocol. The main functionalities include:

  • Speech synthesis (generating speech from text)
  • Retrieving speaker information
  • Setting voice styles

For detailed API specifications, refer to the AivisSpeech Engine API Specifications.

Integration with MCP Protocol

This server implements the Model Context Protocol (MCP), allowing seamless integration with applications such as AI assistants. For more details on the MCP protocol, refer to the MCP Official Documentation.## Troubleshooting

Common issues and solutions:

  • Cannot connect to AivisSpeech Engine: Please check if AIVIS_SPEECH_API_URL in the .env file is correctly set.
  • Audio does not play: Check your system's audio settings and ensure that the appropriate audio device is selected.
  • Speaker ID not found: Verify that the AivisSpeech Engine is running properly and check for available speaker IDs.

Contributions

Please use the GitHub Issue tracker for bug reports or feature requests. Pull requests are also welcome.

License

MIT

Acknowledgments

  • AivisSpeech Engine team
  • Developers of the Model Context Protocol

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自动安装

点击按钮会唤起 PolarBear 客户端,并把当前 MCP Server 的 Markdown 详情文档地址传给客户端。

/api/mcps/kentaro-aivis-speech-mcp/markdown
打开 PolarBear 安装查看 Markdown 文档

手动安装

在 PolarBear 或其他支持 MCP 的客户端中,新建 MCP Server,并参考下方来源或安装提示配置。

暂未识别到安装命令,请打开 ModelScope 详情查看完整配置。

基本信息

分类
speech-processing / autonomous-agents
运行方式
No
许可证
Unknown
详情文件
kentaro-aivis-speech-mcp.md