FlowSpeech MCP Server

FlowSpeech MCP Server

A Model Context Protocol server for FlowSpeech text-to-speech. It lets MCP-compatible clients generate human-like audio with context-aware emotion control, pause control, multi-speaker dialogue, and 30+ available voices.

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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 β€” stage directions like ***(say cheerfully: Hello!)***
  • ⏸️ Pause control β€” natural pacing and rhythm
  • πŸŽ™οΈ 30+ voices β€” male and female voices across moods and styles
  • 🌊 Human-like output β€” natural-sounding synthesis for creators, educators, and developers

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

Variable Description Default
FLOWSPEECH_OUTPUT_DIR Directory to save generated audio files ~/.flowspeech-mcp/audio

Tools

flowspeech_tts

Convert text to speech with a single voice.

Parameters:

Name Type Required Description
text string βœ… Text to synthesize. Supports emotion stage directions.
voice string Voice name (default: Kore)
output_path string Custom file path for the output audio

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:

Name Type Required Description
text string βœ… Dialogue with Speaker1: and Speaker2: prefixes
voice_a string Voice for Speaker1 (default: Charon)
voice_b string Voice for Speaker2 (default: Kore)
output_path string Custom file path for the output audio

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:

Name Type Description
gender male | female | all Filter by gender (default: all)

Available Voices

Voice Gender Style
Puck Male Upbeat and playful
Fenrir Male Excitable and energetic
Zephyr Female Bright and cheerful
Autonoe Female Bright and welcoming
Charon Male Informative and narrative
Kore Female Firm and focused
Orus Male Firm and decisive
Iapetus Male Clear and professional
Umbriel Male Easy-going and relaxed
Callirrhoe Female Easy-going and soothing
Sulafat Female Warm and inviting
Achernar Female Soft and tender
Gacrux Female Mature and experienced
… … 30+ total β€” use flowspeech_list_voices to see all

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

License

MIT

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