Edge-TTS MCP Server

A Model Context Protocol (MCP) server that provides speech synthesis services for AI agents that leverage the text-to-speech capabilities of Microsoft Edge.

overview

This MCP server uses the edge-tts library to provide text-to-speech capabilities, and is designed as a tool to enable AI agents to respond in a natural voice.

function

Text to speech conversion
Multiple voice and language support
Adjust audio speed and pitch
Streaming audio data

install

pip install "edge_tts_mcp_server"

Or if you want to install in development mode:

git clone https://github.com/yuiseki/edge_tts_mcp_server.git
cd edge_tts_mcp_server
pip install -e .

How to use

Example setup in VS Code

Example of setting in VS Code settings.json:

"mcp": {
  "servers": {
    "edge-tts": {
      "command": "uv",
      "args": [
        "--directory",
        "C:\\Users\\__username__\\src\\edge_tts_mcp_server\\src\\edge_tts_mcp_server",
        "run",
        "server.py"
      ]
    }
  }
}

Use with MCP Inspector

Runs as a standard MCP server:

mcp dev server.py

Running with uvx (uvicorn)

If you run it as a FastAPI based server under uv:

uv --directory path/to/edge_tts_mcp_server/src/edge_tts_mcp_server run server.py

Command line options:

edge-tts-mcp --host 0.0.0.0 --port 8080 --reload

API endpoint

When running in FastAPI mode, the following endpoints are available:

/ - API information
/health - health check
/voices - List of available voices (optionally filterable by ?locale=ja-JP , etc.)
/mcp - MCP API endpoint

license

MIT

This server cannot be installed

security - not tested

license - not found

quality - not tested

How are these scores calculated?

hybrid server

The server is able to function both locally and remotely, depending on the configuration or use case.

A Model Context Protocol server that provides text-to-speech functionality for AI agents using Microsoft Edge's text-to-speech technology, supporting multiple voices, languages, and voice customization.

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