How to Use the CAMB.AI MCP in Claude Code

Q: What's the best way to monitor a CAMB.AI dubbing job started with Claude Code?

Write a polling script. After you run createdubbing and get a job ID, use a while loop in bash to call getjobstatus every few minutes until the output no longer shows "processing".

Q: How do I list available CAMB.AI voices from my terminal?

Run claude mcp call cambai-mcp listvoices to see all stock voices. To see your custom ones, run claude mcp call cambai-mcp listclonedvoices. You can pipe the JSON output to jq for filtering.

Automate audio localization in your CI/CD pipelines. Claude Code connects to CAMB.AI from the terminal.

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Script Your Entire Dubbing Workflow

Chain CAMB.AI tools together in any shell script. A build script can trigger a dubbing job by piping a file path to `claude mcp call cambai-mcp create_dubbing`. The command returns a job ID you can save to a file. Then, set up a cron job or a later pipeline step to periodically run `get_job_status` with that ID. Once the status is 'complete', another script can fetch the final audio. It's perfect for headless, automated media processing.

Bulk-Generate TTS Audio for CI/CD

Use Claude Code to generate audio assets in bulk. Your script can read a .csv or .json file of text strings, loop through them, and call `create_tts` for each line. This is how you automate generating audio for IVR systems or game dialogue. Each call to `create_tts` returns a task ID. Your script can collect these IDs and then use a second loop to poll `get_tts_status` and download the results with `get_tts_result` as they become available.

Manage Voices and Languages via CLI

Before you kick off a big job, you can use Claude Code for a quick sanity check from your terminal. Run `claude mcp call cambai-mcp list_target_languages` to get a clean list of supported language codes you can pipe to other tools. This MCP Server makes your entire voice library accessible from the command line. A quick call to `list_cloned_voices` or `list_voices` gives you the exact IDs you need for your scripts.

Setup guide

Set up CAMB.AI 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 cambai-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http cambai-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 CAMB.AI 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": {
    "cambai-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 CAMB.AI. 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 CAMB.AI MCP in Claude Code

In your workflow YAML, install Claude Code and add your MCP token as a secret. Then you can call CAMB.AI tools directly, like `claude mcp call cambai-mcp create_dubbing --source_url ${{ inputs.url }}`.

Yes, that's exactly what it's for. The entire workflow, from starting a job with `create_tts` to checking status and downloading the result with `get_tts_result`, is done through command-line calls.

Write a polling script. After you run `create_dubbing` and get a job ID, use a `while` loop in bash to call `get_job_status` every few minutes until the output no longer shows "processing".

Run `claude mcp call cambai-mcp list_voices` to see all stock voices. To see your custom ones, run `claude mcp call cambai-mcp list_cloned_voices`. You can pipe the JSON output to `jq` for filtering.

All requests from Claude Code are authenticated through your private token. The audio or text data sent to CAMB.AI is processed within a zero-trust, ephemeral environment on Vinkius and is deleted after the job completes.

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