Text to Speech MCP server

Text to Speech MCP Server

<!-- mcp-name: io.github.Engr-FaizanAli/text-to-speech -->

Give your AI assistant a voice — locally, with no API key, no account, and no cloud service.

Text to Speech is an open-source Model Context Protocol (MCP) server that lets AI assistants read text aloud on the user's computer. It uses the speech synthesizer already present on the host operating system, so nothing you ask it to say ever leaves your machine.

Runs on Windows, macOS, and Linux. Install is one line:

uvx text-to-speech-mcp

The server exposes one model-controlled tool:

speak_text(text: string)

Use it for user-provided text, assistant answers, accessibility workflows, or spoken progress updates while an agent works.

Why this one

Most text-to-speech MCP servers wrap a cloud API, which means an account, a key, per-character billing, and your text leaving the machine. This one uses the speech engine your operating system already ships, so it works offline, costs nothing, and keeps text local — which matters if you work anywhere that regulates where data may go.

It also ships an agent narration skill, so an assistant knows how to narrate, not just that it can.

Features

Windows SAPI, macOS say, or espeak-ng on Linux.

• Local playback through the platform's built-in synthesizer by default:

• No cloud API and no API key for the default setup.
• FIFO playback: concurrent requests are spoken one at a time, in order.
• Blocking tool completion: each call returns after its audio finishes.
• Bounded input and queue sizes to prevent unbounded resource use.
• Temporary generated WAV files are removed after playback by default.
• Standard MCP stdio transport through the official Python SDK.
• Optional Piper, Transformers MMS, and local HTTP backends for advanced users.

The MCP server source is open source under the MIT License. Windows SAPI and

the macOS say command are proprietary components of their operating

systems; they are not open-source speech engines. espeak-ng is separately

licensed open-source software.

Requirements

• Python 3.10 or newer.
• An MCP client that supports stdio MCP servers.
• uv/uvx is recommended for package-based MCP installation.

Per platform, for the zero-configuration default:

On Debian or Ubuntu that is typically:

sudo apt install espeak-ng alsa-utils

Set TEXTTOSPEECHBACKEND or TEXTTOSPEECHPLAYER to override either choice. If a required command is missing, the server reports which one and how to install it rather than failing silently.

Install

Configure an MCP client to run the published PyPI package:

uvx text-to-speech-mcp

For MCP clients that accept command-based server configuration, use:

command = "uvx"
args = ["text-to-speech-mcp"]
startup_timeout_sec = 30
tool_timeout_sec = 300
enabled = true

Shortened. The full README is on GitHub.