mcp-tts
@blacktop
mcp-tts について
MCP Server for Text to Speech
基本情報
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"mcp-tts": {
"command": "npx",
"args": [
"skills",
"add",
"https://github.com/blacktop/mcp-tts",
"--skill",
"speak"
]
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is mcp-tts?
mcp-tts is an MCP (Model Context Protocol) server that adds Text-to-Speech capabilities to AI assistants such as Claude Desktop and Cursor IDE. It provides four TTS tools – say_tts (macOS built-in), elevenlabs_tts, google_tts, and openai_tts – each powered by different speech synthesis engines.
How to use mcp-tts?
Install with go install github.com/blacktop/mcp-tts@latest. Configure the server in your MCP client’s settings (e.g., claude_desktop_config.json) with the required API keys for cloud-based tools. Once configured, the TTS tools can be called via the MCP protocol to speak text aloud through your computer’s speakers.
Key features of mcp-tts
- Four TTS backends: macOS say, ElevenLabs, Google Gemini, OpenAI
- Sequential speech mode prevents overlapping audio by default
- Multi-instance protection with a system-wide file lock
- Optional concurrent TTS mode for overlapping speech
- Suppress “Speaking:” output to keep LLM responses clean
- Save audio to disk (AIFF, MP3, WAV) with optional no-playback mode
- Speed control (0.25x–4.0x) and custom voice instructions for OpenAI
Use cases of mcp-tts
- Add spoken responses to AI assistants like Claude Desktop
- Coordinate speech in multi‑agent environments to avoid cacophony
- Generate audio files for offline playback or archiving
- Assign distinct voices per project for at‑a‑glance identification
FAQ from mcp-tts
What TTS tools does mcp-tts provide?
It provides four tools: say_tts (macOS built‑in), elevenlabs_tts, google_tts, and openai_tts. Each uses a different speech engine.
What API keys are required?
ELEVENLABS_API_KEYfor ElevenLabsGOOGLE_AI_API_KEYorGEMINI_API_KEYfor Google TTSOPENAI_API_KEYfor OpenAI TTS
Thesay_ttstool works on macOS without any API key.
Can multiple agents speak at the same time?
By default, only one TTS request plays at a time – subsequent requests queue. Set MCP_TTS_ALLOW_CONCURRENT=true to allow overlapping speech.
How can I save audio to disk?
Set MCP_TTS_OUTPUT_DIR to a directory path. Optionally set MCP_TTS_NO_PLAY=true to skip playback and only save the file.
Does mcp-tts work on Windows or Linux?
The say_tts tool is macOS‑only. The other three tools work on any platform that has the required API keys and a working audio output.
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