giannisanni kokoro tts mcp

giannisanni kokoro tts mcp avatar

by giannisanni

What is giannisanni kokoro tts mcp

Kokoro TTS MCP Server

A Model Context Protocol (MCP) server that provides text-to-speech capabilities using the Kokoro TTS engine. This server exposes TTS functionality through MCP tools, making it easy to integrate speech synthesis into your applications.

Prerequisites

  • Python 3.10 or higher
  • uv package manager

Installation

  1. First, install the uv package manager:
curl -LsSf https://astral.sh/uv/install.sh | sh
  1. Clone this repository and install dependencies:
uv venv
source .venv`/bin/activate`  # On Windows, use: .venv\Scripts\activate
uv pip install .

Features

  • Text-to-speech synthesis with customizable voices
  • Adjustable speech speed
  • Support for saving audio to files or direct playback
  • Cross-platform audio playback support (Windows, macOS, Linux)

Usage

The server provides a single MCP tool generate_speech with the following parameters:

  • text (required): The text to convert to speech
  • voice (optional): Voice to use for synthesis (default: "af_heart")
  • speed (optional): Speech speed multiplier (default: 1.0)
  • save_path (optional): Directory to save audio files
  • play_audio (optional): Whether to play the audio immediately (default: False)

Example Usage

from mcp.client import Client

async with Client() as client:
    await client.connect("kokoro-tts")
    
    # Generate and play speech
    result = await client.call_tool(
        "generate_speech",
        {
            "text": "Hello, world!",
            "voice": "af_heart",
            "speed": 1.0,
            "play_audio": True
        }
    )

Dependencies

  • kokoro >= 0.8.4
  • mcp[cli] >= 1.3.0
  • soundfile >= 0.13.1

Platform Support

Audio playback is supported on:

  • Windows (using start)
  • macOS (using afplay)
  • Linux (using aplay)

MCP Configuration

Add the following configuration to your MCP settings file:

{
  "mcpServers": {
    "kokoro-tts": {
      ```json
      "command": "`/Users/giannisan/pinokio`/bin/miniconda/bin/uv"``
      ```,
      "args": [
        "--directory",
        "`/Users/giannisan/Documents/Cline/MCP/kokoro-tts-mcp",`
        "run",
        "tts-mcp.py"
      ]
    }
  }
}

License

[Add your license information here]

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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