# mcp-imagetovideoai-server

> mcp-imagetovideoai-server — waeckerlinfederowicz66-sketch-mcp-imagetovideoai-server. Use this tool when you need to plan and generate video shots from images, or build motion prompts for production-ready video content. It solves problems related to image-to-video conversion, motion planning, and workflow reliability. The server takes image inputs and generates video shot plans and motion prompts as outputs, ideal for use cases in video production, animation, and content creation.

Canonical page: https://skillsregistry.net/skills/waeckerlinfederowicz66-sketch-mcp-imagetovideoai-server  
JSON: https://api.skillsregistry.net/v1/skills/waeckerlinfederowicz66-sketch-mcp-imagetovideoai-server

## Description

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

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/a3l2f07dyi)
- **Repository:** <https://github.com/waeckerlinfederowicz66-sketch/mcp-imagetovideoai-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "waeckerlinfederowicz66-sketch-mcp-imagetovideoai-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/waeckerlinfederowicz66-sketch-mcp-imagetovideoai-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/waeckerlinfederowicz66-sketch-mcp-imagetovideoai-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt