Let AI Agents Use RenderingVideo Directly

Use MCP, skill packages, and machine-readable docs so models can understand schemas, create previews, and plug video generation into real workflows.

Connect Video Capabilities to Your Agents

Whether you use editor agents or general-purpose models, you can let them read docs, produce schemas, and trigger previews or renders.

Cursor / Windsurf (MCP)

Expose RenderingVideo as an MCP service so editor agents can call preview and rendering capabilities directly.

{
  "mcpServers": {
    "renderingvideo": {
      "command": "node",
      "args": ["path/to/mcp-server.cjs"]
    }
  }
}

Gemini / Claude (Skill)

Install the official skill so models can learn the standard workflow for schemas, previews, and formal rendering.

Open the GitHub repository

Add the skill folder to your AI tooling or workspace

Let the model start using renderingvideo-generator

Overview

Not just buttons inside chat, but real video infrastructure that agents can call.

Help models read schemas, API references, and best practices with less ambiguity.

After generating a schema, an agent can get a preview link immediately before deciding whether to render.

Expose RenderingVideo to environments like Cursor and Windsurf through a standard agent protocol.

Let agents move from understanding intent to generating schemas, triggering renders, and receiving results.

Use RenderingVideo as the execution layer for your agents so models can do more than write copy. They can deliver actual video outputs.