Speech Sh
Let the agent speak out loud and notify you with a quick summary when it finishes working.
ماذا يمكنك أن تفعل مع Speech Sh؟
- Convert text to speech with a simple command
- Multiple voice options (troy, austin, hannah, autumn)
- Adjustable speech speed
- Hash-based caching to avoid duplicate API calls (24h auto-cleanup)
- Retry with exponential backoff
- Audio playback via ffplay, mplayer, or VLC
- MCP server for integration with AI assistants (Claude Desktop, Claude Code)
التثبيت
خطوات التثبيت موجودة في التوثيق أدناه. التوثيق
التوثيق
مأخوذ من ملف README للمشروع على GitHub ويُحدَّث أسبوعيًا. تفتح الروابط على GitHub.
Speech.sh
A text-to-speech CLI and MCP server using the Groq TTS API (OpenAI-compatible).
Features
- Convert text to speech with a simple command
- Multiple voice options (troy, austin, hannah, autumn)
- Adjustable speech speed
- Hash-based caching to avoid duplicate API calls (24h auto-cleanup)
- Retry with exponential backoff
- Audio playback via ffplay, mplayer, or VLC
- MCP server for integration with AI assistants (Claude Desktop, Claude Code)
Quick Start
git clone https://github.com/j3k0/speech.sh.git
cd speech.sh
export OPENAI_API_KEY="your-groq-api-key"
./speech.sh --text "Hello, world!"
Dependencies
curl,jq(for the shell version)- One audio player:
ffplay(from ffmpeg),mplayer, orvlc
CLI Usage
# Basic
./speech.sh --text "Hello, world!"
# With options
./speech.sh --text "Hello!" --voice austin --speed 1.2 --verbose
Options
-t, --text TEXT Text to convert to speech (required)
-v, --voice VOICE Voice to use (default: troy)
-s, --speed SPEED Speech speed (default: 1.0)
-o, --output FILE Output file path (default: auto-generated)
-a, --api_key KEY API key
-m, --model MODEL TTS model (default: canopylabs/orpheus-v1-english)
-p, --player PLAYER Audio player: auto, ffmpeg, mplayer, vlc (default: auto)
-r, --retries N Retry attempts (default: 3)
-T, --timeout N Timeout in seconds (default: 30)
--verbose Enable verbose logging
API Key
Provide your Groq API key in one of three ways (in order of precedence):
--api_key "your-key"export OPENAI_API_KEY="your-key"- A file named
API_KEYin the script's directory
MCP Server
Two implementations are available:
Python (recommended)
Uses the FastMCP SDK. Requires Python 3.10+ and uv.
# Setup
uv venv --python python3 .venv
uv pip install --python .venv/bin/python "mcp[cli]" httpx
# Run
OPENAI_API_KEY="your-key" .venv/bin/python server.py
Claude Desktop / Claude Code configuration
{
"mcpServers": {
"speak": {
"command": "/path/to/speech.sh/.venv/bin/python",
"args": ["/path/to/speech.sh/server.py"],
"env": {
"OPENAI_API_KEY": "your-groq-api-key",
"SPEECH_VOICE": "troy",
"SPEECH_SPEED": "1.0",
"SPEECH_MODEL": "canopylabs/orpheus-v1-english"
}
}
}
}
Shell (legacy)
The original shell-based MCP server (mcp.sh). Works in environments without Python but may hit macOS sandboxing issues with Claude Desktop.
./mcp.sh
MCP Tool
The server exposes a single speak tool:
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| text | string | yes | The text to speak | |
| voice | string | no | troy | Voice to use |
| speed | number | no | 1.0 | Speech speed |
Environment Variables
| Variable | Description | Default |
|---|---|---|
| OPENAI_API_KEY | Groq API key | (required) |
| SPEECH_VOICE | Default voice | troy |
| SPEECH_SPEED | Default speed | 1.0 |
| SPEECH_MODEL | TTS model | canopylabs/orpheus-v1-english |
| SPEECH_API_URL | API endpoint (Python) | https://api.groq.com/openai/v1/audio/speech |
Architecture
- speech.sh - Shell-based TTS engine (API calls, caching, playback)
- mcp.sh - Shell-based MCP wrapper over speech.sh (JSON-RPC 2.0 over stdio)
- server.py - Python MCP server, self-contained replacement for both scripts above
License
GPL
الأسئلة الشائعة
ما هو Speech Sh؟
Let the agent speak out loud and notify you with a quick summary when it finishes working.
كيف أثبّت Speech Sh؟
اتبع خطوات التثبيت في توثيقه المعروض في هذه الصفحة وفي مستودعه.
هل Speech Sh مفتوح المصدر؟
نعم. شيفرته متاحة على GitHub بترخيص GPL-3.0.
من يصون Speech Sh؟
ينشره j3k0. يدرجه AI.tn لكنه لا يصونه ولا يوصي به.
من القوائم المجتمعية awesome-mcp-servers ومستودع المشروع على GitHub. الإدراج ليس توصية: راجع شيفرة الخادم وصلاحياته قبل منحه الوصول إلى بياناتك.