How to Use the Elai AI Video MCP in VS Code Copilot

Q: How does our team share the Elai AI Video MCP configuration in VS Code Copilot?

You commit a .vscode/mcp.json file containing the server details to your repository. Every team member with the Copilot extension gets access to the tools.

Q: Can we trigger video renders using Elai AI Video in VS Code Copilot?

Yes, you can. Copilot calls triggervideorendering with the target project ID to start the rendering process directly from the chat.

Q: How do we verify a render completed with Elai AI Video in VS Code Copilot?

Ask Copilot to check the status. It executes listsuccessfullyrenderedvideos or getvideodetails to return the download link.

Q: Can we list our custom templates in the workspace?

Yes, Copilot runs listvideotemplates to display your account's layouts. You can then select one to structure your automated scripts.

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Connect Elai AI Video MCP to VS Code Copilot

Create your Vinkius account to connect Elai AI Video to VS Code Copilot 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 VS Code Copilot

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Standardize video drafts with VS Code Copilot MCP Server

The `create_new_ai_video` tool enables your team to generate video drafts directly from markdown files inside VS Code Copilot. The agent parses your documentation and calls the tool to build matching video projects. This ensures that every developer on the team can spin up training videos using the exact same templates. You commit the configuration to your repository, giving everyone instant access to the setup.

Reference live avatar and voice catalogs in the editor

The `list_available_avatars` tool lets VS Code Copilot retrieve current actor IDs directly inside your shared workspace. This MCP integration helps developers match these with voice assets using `list_available_voices` to write reliable localization scripts. Your team avoids the hassle of cross-referencing web documentation for voice codes. Copilot reads the live schema and suggests correct voice IDs as you write your code.

Track team-wide rendering queues and account balances

The `get_video_details` tool monitors rendering progress and outputs status updates directly to your VS Code Copilot chat panel. Developers can check the state of team projects using `list_latest_video_projects` and `list_successfully_rendered_videos`. To keep budgets in check, your agent runs `get_elai_account_metadata` to verify remaining credits before kicking off large rendering batches. This prevents unexpected bills during heavy development cycles.

Setup guide

Set up Elai AI Video MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Elai AI Video MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Elai AI Video tools listed. Try asking: "List my recent Elai AI Video transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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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 VS Code Copilot

You commit a `.vscode/mcp.json` file containing the server details to your repository. Every team member with the Copilot extension gets access to the tools.

Yes, you can. Copilot calls `trigger_video_rendering` with the target project ID to start the rendering process directly from the chat.

Ask Copilot to check the status. It executes `list_successfully_rendered_videos` or `get_video_details` to return the download link.

Yes, Copilot runs `list_video_templates` to display your account's layouts. You can then select one to structure your automated scripts.

The server executes in a secure sandbox, passing only script inputs, voice selections, and rendering commands to the Elai API. Your sensitive account metadata is never stored or exposed to external parties.

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