How do I install Edge-TTS MCP Server?
Install via pip: `pip install edge_tts_mcp_server`. For development, clone the repository and run `pip install -e .`.
@yuiseki
基本信息
Model Context Protocol for Text-to-Speech
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"edge_tts_mcp_server": {
"command": "uv",
"args": [
"--directory",
"path/to/edge_tts_mcp_server/src/edge_tts_mcp_server",
"run",
"server.py"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
A Model Context Protocol (MCP) server that provides text-to-speech synthesis for AI agents using Microsoft Edge's text-to-speech engine. It leverages the edge-tts library to convert text into natural-sounding speech, designed to enable AI agents to respond audibly.
Install the package via pip: pip install edge_tts_mcp_server. Configure the server in VS Code’s settings.json by specifying the command (uv) and path to the server.py file, or run directly using mcp dev server.py. Additional options include running with uv for FastAPI mode or using the CLI command edge-tts-mcp --host 0.0.0.0 --port 8080 --reload.
—
Install via pip: `pip install edge_tts_mcp_server`. For development, clone the repository and run `pip install -e .`.
Add the server to your VS Code settings.json with the command `uv` and arguments pointing to the server.py file, as shown in the README example.
Endpoints include `/` (API info), `/health` (health check), `/voices` (list voices, optionally filtered by `?locale=ja-JP`), and `/mcp` (MCP API endpoint).
Yes, the server supports adjusting both the speed and pitch of the generated speech.
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