# Video Brief Manifest MCP Server

> Video Brief Manifest MCP Server — fostermartyn735-video-brief-manifest-mcp. Use this tool when you need to validate and standardize AI video briefs, solving issues with inconsistent or incomplete video production instructions. It takes in structured video briefs as input and outputs a portable preflight manifest, ensuring accurate subject, motion, camera, and audio settings. Ideal for use in video production workflows, this tool streamlines the pre-production process by generating a reliable and reusable manifest.

Canonical page: https://skillsregistry.net/skills/fostermartyn735-video-brief-manifest-mcp  
JSON: https://api.skillsregistry.net/v1/skills/fostermartyn735-video-brief-manifest-mcp

## Description

Validates structured AI video briefs for subject, motion, camera, visual-detail, and audio-direction signals, then builds a portable preflight manifest. Runs locally over stdio and does not call any generation backend.

## 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/du6i53jv8r)
- **Repository:** <https://github.com/FosterMartyn735/video-brief-manifest-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": "fostermartyn735-video-brief-manifest-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fostermartyn735-video-brief-manifest-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fostermartyn735-video-brief-manifest-mcp/pull`

---
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