Fishaudio Mcp
What is Fishaudio Mcp
fishaudio-mcp is a text-to-speech MCP service built using the Fish Audio API. It allows users to convert text into natural-sounding human speech with various configuration options.
Use cases
Use cases include generating audio for educational content, creating voiceovers for videos, assisting visually impaired users with reading text, and enhancing interactive applications with voice responses.
How to use
To use fishaudio-mcp, install the required dependencies via pip, configure your API key and model ID in a .env file, and then start the service using ‘python app.py’ or the MCP CLI tool. You can call the service using an MCP client.
Key features
Key features include basic text-to-speech conversion, advanced options for audio format and bitrate customization, and seamless integration with MCP-compatible applications.
Where to use
fishaudio-mcp can be used in various fields such as education, entertainment, accessibility tools, and any application requiring text-to-speech functionality.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Fishaudio Mcp
fishaudio-mcp is a text-to-speech MCP service built using the Fish Audio API. It allows users to convert text into natural-sounding human speech with various configuration options.
Use cases
Use cases include generating audio for educational content, creating voiceovers for videos, assisting visually impaired users with reading text, and enhancing interactive applications with voice responses.
How to use
To use fishaudio-mcp, install the required dependencies via pip, configure your API key and model ID in a .env file, and then start the service using ‘python app.py’ or the MCP CLI tool. You can call the service using an MCP client.
Key features
Key features include basic text-to-speech conversion, advanced options for audio format and bitrate customization, and seamless integration with MCP-compatible applications.
Where to use
fishaudio-mcp can be used in various fields such as education, entertainment, accessibility tools, and any application requiring text-to-speech functionality.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
Fish Audio Python MCP 服务
这是一个使用 Fish Audio API 实现的文字转语音 MCP 服务。通过这个服务，您可以将文本转换为自然的人声，支持多种配置选项。
功能特点
- 基本文字转语音：将任意文本转换为自然人声
- 高级文字转语音：支持自定义音频格式、比特率等参数
- 兼容 MCP 协议：可与支持 MCP 的应用无缝集成
安装依赖
pip install -r requirements.txt
或使用 Python 包管理工具安装：
pip install fish-audio-sdk mcp python-dotenv
配置
在项目根目录创建 .env 文件，包含以下内容：
API_KEY=your_fish_audio_api_key MODEL_ID=your_fish_audio_model_id
您需要替换为您的 Fish Audio API 密钥和模型 ID。
使用方法
启动服务
python app.py
或使用 MCP CLI 工具：
mcp run --file app.py
运行示例
python example.py
使用 MCP 客户端调用服务
# 示例代码
from mcp.client import MCPClient
client = MCPClient("subprocess://python app.py")
result = client.call("text_to_speech", {"text": "你好，世界！"})
print(result) # 打印生成的音频文件路径
API 功能说明
text_to_speech
基本文字转语音功能。
参数：
text: 要转换为语音的文本output_path（可选）: 输出文件路径，如果不提供，将创建临时文件
返回：生成的音频文件路径
advanced_text_to_speech
高级文字转语音功能，支持更多配置选项。
参数：
text: 要转换为语音的文本output_path（可选）: 输出文件路径，如果不提供，将创建临时文件format: 输出音频格式 (mp3, wav, pcm)，默认为 mp3mp3_bitrate: MP3 比特率 (64, 128, 192 kbps)，默认为 128chunk_length: 分块长度 (100-300)，默认为 200normalize: 是否对文本进行标准化处理，默认为 Truelatency: 延迟模式 (normal, balanced)，默认为 normal
返回：生成的音频文件路径
get_model_info
获取当前使用的模型信息。
返回：包含模型 ID 和 API 密钥前缀的字典
get_available_models
获取可用的 Fish Audio 模型列表。
返回：可用模型信息列表
许可证
MIT
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
