How to Use the Elai AI Video MCP in Cline

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Connect Elai AI Video MCP to Cline

Create your Vinkius account to connect Elai AI Video 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 Elai AI Video with Cline

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End-to-end video creation in VS Code

The `create_new_ai_video` tool gives Cline the ability to turn text files into fully staged video projects. You hand the agent a markdown document, and it parses the content, formats the script, and fires it off to the Elai API. Cline handles the entire task without hand-holding. It pulls your requested design using `list_video_templates` and builds the draft. You see the exact API payload and response right in your editor before it moves to the next step.

Dynamic presenter configuration

The `list_available_voices` tool allows your MCP client to fetch supported languages and narration profiles dynamically. Cline checks this list against your script's language requirements to ensure a perfect match. It then pulls visual options via `list_available_avatars`. You tell Cline you need a corporate presenter for an internal training video, and it wires up the exact voice and avatar IDs into the project payload.

Automated rendering execution

The `trigger_video_rendering` tool pushes your draft into Elai's processing queue. Cline executes this command and then uses `get_video_details` to poll the API for completion status. You do not need to log into a web dashboard to manage your budget. Cline runs `get_elai_account_metadata` to verify your remaining credits, lists your recent work with `list_latest_video_projects`, and confirms when the final file is ready.

Setup guide

Set up Elai AI Video 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 elai-ai-video-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 Elai AI Video 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": {
    "elai-ai-video-mcp": {
      "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 Elai AI Video. 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 Elai AI Video MCP in Cline

Click the MCP icon in the Cline sidebar and use the Remote Servers tab to add the URL. You can also manually add it to your cline_mcp_settings.json file.

Yes. Cline can loop through a directory of scripts and fire off multiple rendering requests. It tracks the status of each job using the API.

The agent can read your account history. It calls the API to pull your recent projects so you can duplicate or modify existing templates.

The MCP Server polls the API for you. It checks the finished list and alerts you in VS Code when the video is ready to download.

The MCP integration only touches the specific text scripts and markdown files you explicitly tell Cline to send for narration. Your VS Code workspace remains private. Auth tokens are passed via ephemeral, zero-trust headers.

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