FlowSpeech MCP Server

An MCP (Model Context Protocol) server that brings FlowSpeech text-to-speech capabilities directly into your LLM workflows.

What is FlowSpeech?

FlowSpeech is a context-aware text-to-speech tool that converts text into human-like audio with:

• 🎭 Emotion control — stage directions like ***(say cheerfully: Hello!)***

• ⏸️ Pause control — natural pacing and rhythm

• 🎙️ 30+ voices — male and female voices across moods and styles

• 🌊 Human-like output — natural-sounding synthesis for creators, educators, and developers

Related MCP server: TTS-MCP

Installation

Run the MCP server directly with npx (no install needed):

npx mcp-flowspeech-server

Or install globally:

npm install -g mcp-flowspeech-server

Configuration

Add to your MCP client config (e.g. Claude Desktop claude_desktop_config.json):

{
  "mcpServers": {
    "flowspeech": {
      "command": "npx",
      "args": ["-y", "mcp-flowspeech-server"],
      "env": {
        "FLOWSPEECH_OUTPUT_DIR": "~/flowspeech-audio"
      }
    }
  }
}

Environment Variables

Tools

flowspeech_tts

Convert text to speech with a single voice.

Parameters:

Example:

Convert this to audio with a cheerful tone using the Puck voice:
"***(say cheerfully: Good morning, everyone!)*** Today we're going to explore something amazing."

flowspeech_tts_multi

Convert a two-speaker dialogue to speech.

Parameters:

Example:

Speaker1: Welcome to the show! I'm your host.
Speaker2: And I'm your co-host. Great to be here!
Speaker1: Today we're talking about AI voices.

flowspeech_list_voices

List all available voices.

Parameters:

Available Voices

Emotion Stage Directions

FlowSpeech supports inline emotion control using the format ***(say <style>: text)***:

***(say cheerfully: Good morning!)*** 
Today I want to talk about something important.
***(say solemnly: This affects all of us.)***

Links

• 🌐 Website: https://flowspeech.io

• 🎬 Demo: https://youtu.be/nkBI7WbggW8

• 📦 npm: https://www.npmjs.com/package/mcp-flowspeech-server

License

MIT