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speech-synthesis-mcp-adapter

Facilitates the integration of advanced voice synthesis services into applications, transforming textual input into high-fidelity spoken audio. It offers granular control over vocal characteristics and output encoding, supplemented by a convenient terminal utility for immediate text-to-audio operations.

Author

speech-synthesis-mcp-adapter logo

nakamurau1

MIT License

Quick Info

GitHub GitHub Stars 1
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Tools 1
Last Updated 2026-02-19

Tags

ttsaudiovoicetts mcptext audiovoice options

speech-synthesis-mcp-adapter

A Model Context Protocol (MCP) endpoint and command-line utility designed for premium speech rendering via the OpenAI TTS engine.

Core Capabilities

  • MCP Endpoint: Enables seamless speech generation integration with clients adhering to the MCP standard, such as Claude Desktop.
  • Vocal Selection: Comprehensive support for numerous speaker profiles (e.g., alloy, nova, echo, etc.).
  • Superior Audio Quality: Output fidelity supports diverse encodings (MP3, WAV, OPUS, AAC).
  • Parameter Tuning: Allows configuration of speech cadence, chosen voice persona, and contextual auditory directives.
  • CLI Functionality: Also deployable as a direct-use command-line interface for on-the-fly text rendition.

Deployment Instructions

Route 1: Installation via Source Repository

# Obtain the source code
git clone https://github.com/nakamurau1/tts-mcp.git
cd tts-mcp

# Fetch required packages
npm install

# Optional: Install for system-wide access
npm install -g .

Route 2: Immediate Execution with npx (Zero Install)

# Launch the MCP server instantly
npx tts-mcp speech-synthesis-mcp-adapter --voice nova --model tts-1-hd

# Invoke the conversion utility directly
npx tts-mcp -t "Greetings from the adapter" -o greeting.mp3

MCP Server Operational Guide

This server bridges your text-to-speech requirements to MCP-compliant consumer applications (e.g., Claude Desktop).

Activating the MCP Server

# Start using default configurations
npm run server

# Start with specific overrides
npm run server -- --voice echo --model tts-1

# Or start directly specifying the API key
node bin/tts-mcp-server.js --voice fable --api-key sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxx

Server Configuration Switches

Options:
  -V, --version       Show current version tag
  -m, --model <model> TTS engine to utilize (default: "gpt-4o-mini-tts")
  -v, --voice <voice> Speaker identity to employ (default: "alloy")
  -f, --format <format> Output audio container type (default: "mp3")
  --api-key <key>     OpenAI credential; can be sourced from an environment variable
  -h, --help          Display usage documentation

Interfacing with MCP Clients

The server is designed for consumption by Claude Desktop and other systems recognizing the MCP schema. For Claude Desktop setup:

  1. Locate the Claude Desktop configuration file (usually at ~/Library/Application Support/Claude/claude_desktop_config.json)
  2. Inject the subsequent configuration block, ensuring your OpenAI API key is provided:
{
  "mcpServers": {
    "speech-synthesis-mcp-adapter": {
      "command": "node",
      "args": ["full/path/to/bin/tts-mcp-server.js", "--voice", "alloy", "--api-key", "your-openai-api-key"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key"
      }
    }
  }
}

Alternatively, using npx for simplified path management:

{
  "mcpServers": {
    "speech-synthesis-mcp-adapter": {
      "command": "npx",
      "args": ["-p", "tts-mcp", "tts-mcp-server", "--voice", "sage", "--model", "tts-1"],
      "env": {
        "OPENAI_API_KEY": "your-openai-api-key"
      }
    }
  }
}

You can provision the API key via two primary methods:

  1. Direct Injection (suitable for prototyping): Include it in the args array using the --api-key flag.
  2. Environment Variable Exposure (preferred for security): Set it within the env structure as illustrated.

Security Mandate: Exercise caution to safeguard your configuration file, especially when API secrets are embedded.

  1. Relaunch Claude Desktop.
  2. Text read requests issued to Claude (e.g., "vocalize this text") will now utilize the configured synthesis engine.

Registered MCP Functions

  • text-to-speech: Primary function for rendering provided text into audible output.

Command-Line Interface Utility

speech-synthesis-mcp-adapter also functions autonomously as a terminal utility:

# Perform a direct text transcription
speech-synthesis-mcp-adapter -t "Testing the CLI utility now" -o output_test.mp3

# Transcribe content from a source file
speech-synthesis-mcp-adapter -f input_data.txt -o file_audio.mp3

# Select a specific vocal texture
speech-synthesis-mcp-adapter -t "A different voice sample" -o custom_voice.mp3 -v onyx

CLI Utility Switches

Options:
  -V, --version           Display version information
  -t, --text <text>       The textual content requiring vocalization
  -f, --file <path>       Location of the input text document
  -o, --output <path>     Destination path for the resulting audio file (mandatory)
  -m, --model <n>         The synthesis model identifier (default: "gpt-4o-mini-tts")
  -v, --voice <n>         The specific speaker profile ID (default: "alloy")
  -s, --speed <number>    Playback rate adjustment factor (range 0.25 to 4.0) (default: 1)
  --format <format>       Desired container format (default: "mp3")
  -i, --instructions <text> Supplementary directives for speech modulation
  --api-key <key>         OpenAI credential; can be passed via environment variable
  -h, --help              Display summary help screen

Supported Vocal Profiles

The following speaker identities are recognized: - alloy (default) - ash - coral - echo - fable - onyx - nova - sage - shimmer

Supported Models

  • tts-1
  • tts-1-hd
  • gpt-4o-mini-tts (default)

Output Encoding Options

The achievable output media formats include: - mp3 (default) - opus - aac - flac - wav - pcm

Environment Configuration Variables

Configuration can also be managed through system environment settings:

OPENAI_API_KEY=your-secret-key-here

Licensing

MIT

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See Also

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