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
Basic information
Model Context Protocol for Text-to-Speech
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"edge_tts_mcp_server": {
"command": "uv",
"args": [
"--directory",
"path/to/edge_tts_mcp_server/src/edge_tts_mcp_server",
"run",
"server.py"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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