Integration

Velora MCP Server

Connect Claude Desktop and other AI assistants directly to the Velora Video Engine. Give your AI the power to autonomously generate videos.

🔌 What is MCP?

The Model Context Protocol (MCP) is an open standard that allows AI models to interact with external tools and data. By installing the Velora MCP Server, you give your AI assistant direct control over our video generation pipeline.

Once installed, you can simply tell Claude: "Generate a cinematic YouTube short about Ancient Rome." Claude will automatically write the script, call our API to render the video, and return the final MP4 link directly in your chat.

⚙️ Installation (Claude Desktop)

The easiest way to install the Velora MCP server is via Smithery. You do not need to configure any API keys beforehand — Claude will ask you for your API key the first time you try to generate a video.

1Via Smithery (Recommended)

You can use the Smithery CLI to automatically add the Velora server to your Claude Desktop config.

npx @smithery/cli@latest run velora-mcp-server --client claude

2Manual Configuration

Alternatively, you can manually run the server if you have cloned the repository locally.

"mcpServers": {
  "velora": {
    "command": "node",
    "args": ["/path/to/velora-mcp-server/build/index.js"]
  }
}

🛠️ Available Tools

create_video
Triggers a new AI video generation. Supports parameters for language, AI voiceover, aspect ratio, background music, video style, and visual model (e.g. Veo, Sora, Kling).
check_video_status
Polls the generation status of a currently rendering video to see if it is pending, processing, or completed.
get_video_result
Retrieves the final MP4 download link, generated script, thumbnails, and metadata for a completed video.
estimate_video_cost
Calculates the compute credit cost for a video configuration before rendering it.

Ready to upgrade your agent?

Get your API key to start generating videos programmatically.

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