ElevenLabs Streaming MCP Server
by CodingButter
README.md
# ElevenLabs Streaming MCP Server
A high-performance MCP (Model Context Protocol) server for ElevenLabs text-to-speech with streaming support!
## Features
- ✅ Official ElevenLabs SDK integration
- ✅ True streaming - no file saving!
- ✅ Direct pipe to ffplay for instant playback
- ✅ No token limit issues
- ✅ Environment-based configuration
- ✅ Voice listing support
- ✅ Works with npx - no installation needed!
## Quick Start
Add to your `.mccp.json`:
```json
{
"mcpServers": {
"elevenlabs": {
"command": "npx",
"args": ["elevenlabs-streaming-mcp-server"],
"env": {
"ELEVENLABS_API_KEY": "your_api_key_here",
"ELEVENLABS_VOICE_ID": "Au8OOcCmvsCaQpmULvvQ",
"ELEVENLABS_MODEL_ID": "eleven_flash_v2",
"ELEVENLABS_STABILITY": "0.5",
"ELEVENLABS_SIMILARITY_BOOST": "0.75",
"ELEVENLABS_STYLE": "0.1"
}
}
}
}
```
## Environment Variables
- `ELEVENLABS_API_KEY` (required): Your ElevenLabs API key
- `ELEVENLABS_VOICE_ID`: Default voice ID (default: Rusty Butter's voice)
- `ELEVENLABS_MODEL_ID`: Model to use (default: eleven_flash_v2)
- `ELEVENLABS_STABILITY`: Voice stability 0-1 (default: 0.5)
- `ELEVENLABS_SIMILARITY_BOOST`: Voice similarity 0-1 (default: 0.75)
- `ELEVENLABS_STYLE`: Style exaggeration 0-1 (default: 0.1)
## Available Tools
### generate_audio
Generates audio from text with streaming support:
- `text` (required): Text to convert to speech
- `voice_id`: Override default voice
- `model_id`: Override default model
- `play_audio`: Whether to auto-play (default: true)
### list_voices
Lists all available ElevenLabs voices with their IDs and descriptions.
## Development
```bash
npm install
npm run dev # Run with hot reload
npm run build # Build for production
```
## Publishing
```bash
npm publish
```
Built by Rusty Butter for MAXIMUM STREAMING AUTONOMY! 🚀TDQS
A3.6/5.0
Scored across 2 tools
Disambiguation5/5
The two tools have entirely distinct purposes: generate_audio creates audio from text, while list_voices retrieves available voices. There is no overlap or ambiguity between them.
Naming Consistency5/5
Both tool names follow a clear verb_noun pattern (generate_audio, list_voices), demonstrating consistent and predictable naming.
Tool Count3/5
With only two tools, the set feels thin for a general-purpose MCP server, though it may be acceptable for a focused streaming service. The count is on the low end of the appropriate range.
Completeness3/5
The tools cover the core generation and voice discovery workflow, but lack voice management (create/update/delete) and more granular streaming controls. There are minor gaps that could force workarounds in more complex scenarios.
Maintenance
ActivityInactive
ResponsivenessNo issues