# motion-previs-mcp

> motion-previs-mcp — wassermanproductions-motion-previs-mcp. Use this tool when you need to analyze and preprocess video footage for 3D scene reconstruction and animation. It solves problems related to motion capture, camera tracking, and object detection, allowing for efficient export of depth passes and pose data. The tool accepts video footage as input and outputs analyzed data, making it ideal for use in previsualization and animation pipelines.

Canonical page: https://skillsregistry.net/skills/wassermanproductions-motion-previs-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wassermanproductions-motion-previs-mcp

## Description

Enables AI agents to import video footage, trim ranges, run motion analysis (camera, actor, object, or full scene), export depth passes and pose data, and send layers to the Blockout previs app via Motion Previs Studio.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/orsepupyv6)
- **Repository:** <https://github.com/wassermanproductions/motion-previs-mcp>

## 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": "wassermanproductions-motion-previs-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/wassermanproductions-motion-previs-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/wassermanproductions-motion-previs-mcp/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