mcp-koko-tts
0
This project is a Model Context Protocol server designed to offer text-to-speech conversion, allowing for seamless integration with AI assistants to produce speech audio from text in MP3 format.
Text-to-Speech MCP Server
A simple MCP (Model Context Protocol) server that provides text-to-speech conversion capabilities, written in TypeScript.
Project Purpose
This project implements a Model Context Protocol (MCP) server that offers text-to-speech functionality. It allows AI assistants and other MCP clients to convert text into speech audio files (MP3 format) through a standardized interface.
Key features:
- Convert any text to speech audio
- Save the resulting audio as MP3 files
- Simple integration with any MCP-compatible client
quickstart
install
npm install -g mcp-koko-tts
mcp path
Please run it in the root directory of the project.
current_dir=$(pwd); mcp_path="$current_dir/build/index.js"; echo "MCP Path is set to: $mcp_path"
environment variable
export TTS_OUTPUT_DIR="~/.mcp_tts"
start the tts docker container
gh repo clone remsky/Kokoro-FastAPI
cd Kokoro-FastAPI
# GPU: Requires NVIDIA GPU with CUDA 12.8 support (~35x-100x realtime speed)
cd docker/gpu
docker compose up --build
# CPU: PyTorch CPU inference
cd docker/cpu
docker compose up --build
Configure the Client
Cherry Studio
