MCP Servers

mcp-imagetovideoai-server

A lightweight Model Context Protocol server for planning image-to-video shots, building production-ready motion prompts, and preparing reliable generation workflows.

Category

README

Image to Video AI MCP Server

A lightweight Model Context Protocol server for planning image-to-video shots, building production-ready motion prompts, and preparing reliable generation workflows.

Installation

Run directly with npx:

npx -y mcp-imagetovideoai-server

Or install globally:

npm install -g mcp-imagetovideoai-server

MCP Configuration

{
  "mcpServers": {
    "image-to-video-ai": {
      "command": "npx",
      "args": ["-y", "mcp-imagetovideoai-server"]
    }
  }
}

Tools

`image_to_video_build_prompt`

Builds a structured motion prompt from the subject, primary motion, environment, camera, lighting, timing, style, and artifact constraints.

Required inputs:

subject
motion

`image_to_video_plan`

Creates a concise shot plan with motion hierarchy, camera guidance, continuity checks, optional end-frame control, and an iteration strategy.

Required inputs:

goal
image_description

`image_to_video_get_started`

Returns a localized workspace URL and a short preflight checklist. Supported locales are English (en), Japanese (ja), and Chinese (zh).

Example

Ask your MCP client:

Build a five-second prompt for a product photo. The bottle should rotate slowly,
the camera should make a subtle dolly-in, and the label must remain stable.

Use the resulting plan with the Image to Video AI generator to create and iterate on the clip.

Scope

This package prepares prompts and shot plans. It does not request account credentials, store API keys, upload source media, or claim to call a private generation API.

License

MIT

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