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. The kokoro tts mcp mcp server wraps that behind the Model Context Protocol, so an assistant can use it rather than through you.

What it actually does

• 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)
• Optional OpenAI-compatible remote backend (e.g. kokoro-fastapi) to offload synthesis to a GPU box

Configuration

You will need 2 environment variables: KOKORO_BASE_URL, KOKORO_API_KEY. The server will not start without them, which is usually why the tools fail to appear on a first run. Keep credentials in your client's env block or a secrets manager rather than in a file you might commit.

• Python 3.10 or higher - uv package manager

Adding it to your client

Setup follows the usual MCP pattern — install or clone the server, register it in your client's configuration file, restart the client.

When to reach for it

Among the AI and media services options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. It is maintained by giannisanni; worth a glance at recent repository activity before you build anything load-bearing on it.

This entry was verified against Kokoro Tts MCP's own documentation before publication; SyncDev keeps the directory reviewed rather than auto-generated.

Caveats

• It runs with your machine's permissions. That is convenient and also the reason to think about what you point it at before you approve a tool call.
• Missing credentials fail quietly in some clients — if no tools show up, check the environment block first.
• MCP clients confirm each tool call by default. Leave that on until you have watched what the kokoro tts mcp mcp server does with a few real requests.