How to Use the Maestra MCP in Cline

Build localization features into your apps. Cline uses Maestra tools to fetch data, generate assets, and write the code to use them.

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Connect Maestra MCP to Cline

Create your Vinkius account to connect Maestra to Cline and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Maestra with Cline

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Automate Asset Generation for Your UI

This MCP Server connects Cline to the Maestra API for media processing. You can tell Cline to build a component that displays localized videos, and it will use `upload_media_for_transcription` and `translate_transcription` to create the assets it needs for the task. Cline doesn't just call the API—it writes the code that calls the API. It can generate a TypeScript interface from the `get_file_details` response, create a React component to show job status, and even stage the new files for you to review and commit.

Build Internal Tools with the Maestra MCP Server

Stop building one-off admin panels. Ask Cline to create a script that checks the status of all in-progress localizations. It will use `list_maestra_files` and loop through them, calling `get_file_details` for each one to get the latest update. The output isn't just a log file. Cline can use the results to build a simple dashboard, generate a markdown report, or write a function that triggers alerts in another system. It connects the Maestra API directly to your actual development tasks.

Script Voiceover Production

Let's say you need to generate voiceovers for a new feature tour in five languages. Cline can script this entire process. It starts by getting the translated text for a file using `translate_transcription`. From there, it can fetch available voices with `list_available_ai_voices` and then call `generate_ai_voiceover` for each language. Cline writes the Node.js script that does all this, giving you a repeatable process you can run on demand.

Setup guide

Set up Maestra MCP in Cline

Prerequisites

VS Code with Cline extension installed
Active Vinkius subscription with a valid endpoint token

1

Open Cline MCP settings

Click the Cline icon in the VS Code sidebar to open the Cline panel. Then click the MCP Servers icon (server stack) at the top-right corner of the panel.
2

Add a remote server

Click "Remote Servers" at the top, then click "Add Remote MCP". In the Name field, type maestra-mcp. In the URL field, paste your Vinkius endpoint: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp. Get your token from cloud.vinkius.com.
3

Enable the server

After saving, the server appears in the Cline MCP panel. Toggle the switch to enable it. The status indicator turns green when the connection is live.
4

Start using tools

Return to the Cline chat and ask: "Check my latest Maestra refund status." Cline will discover the available tools and request your approval before invoking each one — giving you full control over every action.

Cline MCP Settings

{
  "mcpServers": {
    "maestra-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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Common questions about Maestra MCP in Cline

Prompt Cline to "build a dashboard showing all Maestra video statuses." It will use the `list_maestra_files` and `get_file_details` tools to fetch the data, then write the front-end code for the dashboard itself.

Yes. Give Cline a prompt like, "Write a script to find all English videos in Maestra and translate them to French." It will use the MCP tools to interact with the API and generate a runnable Node.js or Python script for you.

You can tell it to. You can either specify a voice ID in your prompt or ask Cline to use `list_available_ai_voices` and pick the first available one for the target language. Your choice.

Cline doesn't just run the task—it builds the durable, version-controlled asset that runs the task. You end up with tested, committed code that integrates the Maestra API, not just a one-time API call.

The server only handles the media file URLs and the transcribed or translated text that Maestra processes. All communication is over HTTPS, and your Maestra API key is stored securely on the server, never exposed to your local VS Code instance.

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