How to Use the Volcengine Speech Synthesis MCP in Claude Code

Q: How do I manage audio formats with Volcengine Speech Synthesis and Claude Code?

Use getaudioformats in your script. You can programmatically check for MP3, WAV, OGG Opus, or PCM support to ensure the asset created by the MCP Server will work across all deployment environments.

Q: Can I check the status of a long synthesis job with Volcengine Speech Synthesis and Claude Code?

Absolutely. When running background tasks, you must use gettaskstatus. This command lets your script wait or poll until the async task is confirmed as completed or failed.

Integrate robust speech generation into CI/CD pipelines using Claude Code’s terminal commands.

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Setup Volcengine Speech Synthesis with Claude Code

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Running Synthesis via MCP Server

Use `synthesize_speech` to convert text directly within a shell script. This is ideal for automated documentation builds where you need voice files generated on demand. Since this runs headless, the output data or URL can be immediately streamed and piped into other build tools.

Creating Custom Voices with Claude Code

You incorporate `create_custom_voice` into your CI/CD pipeline. You manage the training process using 10–50 audio recordings, which sets up a persistent asset for future automated use. After the 1–3 day wait, you can reference that custom voice type in subsequent build steps.

Controlling Output with Claude Code

For maximum reliability in automation, `synthesize_ssml` is your tool. You inject SSML tags like `<break>` to ensure the timing and intonation are perfect for automated narration. Furthermore, checking supported formats via `get_audio_formats` helps you ensure the final asset meets the requirements of the target system.

Setup guide

Set up Volcengine Speech Synthesis MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see volcengine-speech-synthesis-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Volcengine Speech Synthesis transactions." It will automatically discover and invoke the available Volcengine Speech Synthesis tools.

Terminal

claude mcp add --transport http volcengine-speech-synthesis-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

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Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Volcengine Speech Synthesis MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "volcengine-speech-synthesis-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Volcengine Speech. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Volcengine Speech Synthesis MCP in Claude Code

Use `get_audio_formats` in your script. You can programmatically check for MP3, WAV, OGG Opus, or PCM support to ensure the asset created by the MCP Server will work across all deployment environments.

Absolutely. When running background tasks, you must use `get_task_status`. This command lets your script wait or poll until the async task is confirmed as completed or failed.

The system supports Chinese, English, and Japanese. You can write scripts to process multi-lingual content by calling `synthesize_speech` with the correct language code.

The list is extensive, including standard male/female voices, child tones, news anchors, and trendy effects. Always run `list_voices` first to get the current set of identifiers.

The server processes text inputs for synthesis and handles raw audio recordings during custom voice training. The scope is limited to media content generation, not user credentials or private system state.

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