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

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	✅	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	✅	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 — 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.)***

License

MIT

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

Tool

FlowSpeech MCP Server

About this tool

FlowSpeech MCP Server

What is FlowSpeech?

Installation

Configuration

Environment Variables

Tools

`flowspeech_tts`

`flowspeech_tts_multi`

`flowspeech_list_voices`

Available Voices

Emotion Stage Directions

Links

License

Comments & Discussion

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