Text to Speech MCP Server
RealtimeTTS is a Python text-to-speech library. No installable MCP server could be confirmed, so this page documents that limitation rather than a server.
No installable MCP server confirmed:
RealtimeTTS is a Python text-to-speech library, not an MCP server. It has no MCP entry point, and the package does not start an MCP process. This page therefore documents no install or client configuration.
Overview
RealtimeTTS is a Python library for low-latency text-to-speech. It supports multiple TTS engines and is used to add voice output to applications, but it does not ship an MCP server: the upstream repository documents library usage only, and pip install realtimetts[all] installs the library without exposing any MCP tools.
Created by:
Developed by KoljaB
Key Features
Low-Latency Conversion
Almost instantaneous text-to-speech conversion, ideal for real-time interactions
High-Quality Audio
Generates clear and natural-sounding speech
Multiple TTS Engines
Supports OpenAI TTS, ElevenLabs, Azure, Coqui TTS, and more
Multilingual Support
Provides speech synthesis in multiple languages
Available Tools
No MCP tools could be confirmed. The upstream project exposes a Python API for synthesizing and streaming speech; it does not register MCP tools.
Installation
There is no MCP server to install or configure for RealtimeTTS. Use the library directly in Python, following its README setup instructions.
Common Use Cases
Voice-enabled assistants, accessibility playback, and real-time notifications are all achievable with the RealtimeTTS library itself, but they require your own integration code — there is no MCP server to call.
Sources
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