How do I install the tts mcp server?

Use a recorded configuration for your client, replace example credential values and paths, and verify the documented runtime. Restart or reconnect the client, then inspect the available tools.

What credentials does it need?

It reads `OUTPUT_PATH` from the environment. Store these in your client's env block or a secrets manager — never commit them to a repository — and grant the narrowest scope that still covers your use case.

SSyncDev

Start a project

TTS MCP Server

Deep learning for Text to Speech by Coqui.

Local serverstdioPython

What is the TTS MCP Server?

Deep learning for Text to Speech by Coqui.

What you get

🛠️ Tools for training new models and fine-tuning existing models in any language.

High-performance Deep Learning models for Text2Speech tasks
Text2Spec models (Tacotron, Tacotron2, Glow-TTS, SpeedySpeech)
Speaker Encoder to compute speaker embeddings efficiently
Vocoder models (MelGAN, Multiband-MelGAN, GAN-TTS, ParallelWaveGAN, WaveGrad, WaveRNN)
Fast and efficient model training
Detailed training logs on the terminal and Tensorboard

More MCP options

Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.

Maintainer setup documentation.

How to install the TTS MCP Server

{
  "mcpServers": {
    "tts-1": {
      "command": "uvx",
      "args": ["TTS"],
      "env": {
        "OUTPUT_PATH": "your-value"
      }
    }
  }
}

Add to claude_desktop_config.json, then restart Claude Desktop.

Configuration

Variable	Description	Required
OUTPUT_PATH	Filesystem location the server is allowed to use.	Optional

Example prompts to try

“Use TTS to Vocoders.”

Frequently asked questions

Deep learning for Text to Speech by Coqui. Confirm the tools offered by your installed version in the connected client. Tool availability and permissions depend on the server and account configuration.