Advanced TTS MCP Server - High-quality neural voice synthesis with enhanced features and streaming capabilities
If you already use Advanced Tts MCP, the advanced tts mcp mcp server is the piece that lets your assistant work with it directly. Advanced TTS MCP Server - High-quality neural voice synthesis with enhanced features and streaming capabilities.
A high-quality, feature-rich Text-to-Speech MCP server with native TypeScript implementation. Designed for professional applications requiring natural, expressive speech synthesis with advanced controls and zero external dependencies.
Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client. The configuration blocks on this page cover the common clients.
The toolset is worth reading before you wire it up, because it tells you what the integration is really for:
synthesize_speech — Convert text to natural speech with full control over voice characteristicsbatch_synthesize — Process multiple text segments efficiently with optional mergingget_voices — The get_voices tool exposed by this serverget_status — The get_status tool exposed by this servercancel_request — The cancel_request tool exposed by this serverlist_output_files — The list_output_files tool exposed by this serverEmotions — The Emotions tool exposed by this serverConfiguration is passed through the environment: KOKORO_MODEL_PATH, KOKORO_VOICES_PATH. Treat anything key-shaped as a real credential — scope it to the minimum the server needs, and rotate it if it ever lands in a shared config.
Plenty of AI and media services servers cover similar ground. The differences that matter in practice are scope of access and how much setup stands between you and a working tool call. Advanced Tts MCP's toolset — synthesize_speech, batch_synthesize, get_voices and 4 more — is a fair guide to whether it matches your workflow. It is maintained by samihalawa; worth a glance at recent repository activity before you build anything load-bearing on it.
We check each listing at SyncDev against the project's documentation before it goes live — if something here drifts out of date, it is a bug worth reporting.
| Tool | What it does |
|---|---|
| synthesize_speech | Convert text to natural speech with full control over voice characteristics. |
| batch_synthesize | Process multiple text segments efficiently with optional merging. |
| get_voices | The get_voices tool exposed by this server. |
| get_status | The get_status tool exposed by this server. |
| cancel_request | The cancel_request tool exposed by this server. |
| list_output_files | The list_output_files tool exposed by this server. |
| Emotions | The Emotions tool exposed by this server. |
{
"mcpServers": {
"advanced-tts": {
"command": "node",
"args": ["dist/index.js"],
"cwd": "/path/to/advanced-tts-mcp"
}
}
}Configuration as documented by the project. Restart the client after saving.
| Variable | Description | Required |
|---|---|---|
| KOKORO_MODEL_PATH | Filesystem location the server is allowed to use. | Optional |
| KOKORO_VOICES_PATH | Filesystem location the server is allowed to use. | Optional |
Build a programmable telecommunications stack for connecting telephony services with the Internet via a cloud-based utility.
Search built for AI, not humans — semantic web search that returns model-ready content, plus code context.
Answers, not links — delegate questions to Perplexity's search-grounded models and get cited responses back.
Give your assistant a voice — text-to-speech, voice cloning and audio tools from the ElevenLabs API.
Give your assistant a real code sandbox — isolated cloud VMs for actually running the code it writes.
The ML hub in your context window — search models, datasets, papers and run Spaces from the official server.