How to Use the Elai AI Video MCP in Claude Code

Build headless AI video pipelines right from your terminal using Claude Code and Elai.

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Connect Elai AI Video MCP to Claude Code

Create your Vinkius account to connect Elai AI Video to Claude Code 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 Claude Code

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Headless video generation pipelines

The `create_new_ai_video` tool lets your MCP client spin up video drafts programmatically. You can pipe a text file straight into Claude Code, and it will push the script to Elai's servers without ever opening a browser. This setup is perfect for CI/CD workflows. The agent uses `list_video_templates` to apply your standard corporate branding, creating consistent video outputs for automated release notes or documentation updates.

Terminal-native asset querying

The `list_available_avatars` tool gives your AI client direct access to Elai's presenter database. Claude Code queries the API and returns the exact IDs needed to configure your video payload. It pairs this with `list_available_voices` to ensure the audio matches your target region. You run a single terminal command, and the agent maps the correct language codes to the chosen digital actor.

Asynchronous render tracking

The `trigger_video_rendering` tool starts the heavy lifting on Elai's infrastructure. Claude Code initiates the job and writes a background script to poll `get_video_details` until the status changes to complete. The agent manages your API limits automatically. It checks `get_elai_account_metadata` to ensure you have enough credits before starting a batch job, and pulls the final URLs via `list_successfully_rendered_videos` when the run finishes.

Setup guide

Set up Elai AI Video 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 elai-ai-video-mcp with a green status indicator.
3

Start using tools

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

Terminal

claude mcp add --transport http elai-ai-video-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

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 Elai AI Video 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": {
    "elai-ai-video-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 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 Claude Code

Run claude mcp add --transport http elai-video -- in your terminal. Make sure all flags come before the server name. Claude Code saves this directly to your ~/.claude.json file.

Yes. You can write a shell script that triggers Claude Code on a schedule. It will read your latest text files, generate the drafts, and start the renders automatically.

The agent doesn't block your terminal. The MCP Server triggers the render and can be scripted to check the status asynchronously using the API endpoints.

Yes. The agent queries your account metadata to verify your available minutes before it attempts to process a large batch of videos.

The server only receives the specific text strings and API parameters required to build your video draft. It cannot execute arbitrary commands on your host machine or read unrelated environment variables. All requests route through a strict zero-trust sandbox.

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