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MCP server · AI

Quick Tts MCP

by · github.com/diogoseca/quick-tts-mcp

MCP server providing text-to-speech functionality using OpenAI's TTS API

Unclaimed last commit a year ago ai
InstallView source
41Fair

Scored 6 months ago · breakdown

About Quick Tts MCP

Quick Tts MCP is an MCP server published by diogoseca in the AI category: mCP server providing text-to-speech functionality using OpenAI's TTS API.

Six months or more without a commit doesn't mean the server is broken, but check the open issues before depending on it in production.

Install

From source
git clone https://github.com/diogoseca/quick-tts-mcp

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

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  • ✓README presentThe repository ships documentation.
  • !Scoped permissionsDoesn't declare a permission scope. Assume it can do anything its process can.

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README

Quick-TTS MCP Server

MCP server providing text-to-speech functionality using OpenAI's TTS API via the quick-tts package.

Installation

Using uvx (Recommended)

uvx quick-tts-mcp

Using pip

pip install quick-tts-mcp

Using Docker

docker run -e OPENAI_API_KEY=your-key quick-tts-mcp

Configuration

Create a .env file:

OPENAI_API_KEY=sk-your-openai-api-key-here

Usage

Start the server

quick-tts-mcp

Available tools:

  • generate_speech: Convert text to speech
  • list_voices: List available voices
  • list_models: List available models

Example MCP client configuration

{
  "mcpServers": {
    "quick-tts": {
      "command": "uvx",
      "args": ["quick-tts-mcp"],
      "env": {
        "OPENAI_API_KEY": "sk-your-key"
      }
    }
  }
}

Tools

generate_speech

Convert text to speech using OpenAI's TTS API.

Parameters:

  • text (required): Text to convert to speech
  • voice (optional): Voice to use - alloy, echo, fable, onyx, nova, shimmer (default: alloy)
  • model (optional): Model to use - tts-1, tts-1-hd (default: tts-1-hd)
  • output_format (optional): Output format - mp3, wav (default: mp3)

Returns: JSON with file path, size, and metadata

list_voices

List all available TTS voices with descriptions.

Returns: JSON array of available voices

list_models

List all available TTS models with descriptions.

Returns: JSON array of available models

Development

Local installation

pip install -e .

Running locally

python -m quick_tts_mcp.server

License

MIT

README copy captured when this server was indexed; it may lag the repository. The original is authoritative.

Questions

About Quick Tts MCP

How do I install Quick Tts MCP?

No package has been published for this server, so install it from source: clone the repository and follow its README.

Is Quick Tts MCP safe to use with an AI agent?

Its trust score is 41 out of 100 (fair). It passes 1 of the 2 static security checks run so far; the failures are listed above. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Quick Tts MCP still maintained?

The last commit was a year ago. That's long enough that you should check whether the maintainer is responding to issues before depending on it.