MCP server for FlowSpeech — context-aware text-to-speech with emotion control and 30+ voices

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

Installation

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

BASH
npx mcp-flowspeech-server  

Or install globally:

BASH
npm install -g mcp-flowspeech-server  

Configuration

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

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

Source: https://github.com/waeckerlinfederowicz66-sketch/mcp-flowspeech-server