# vfx-mcp

> vfx-mcp — sandraschi-vfx-mcp. Use this tool when you need to apply video effects via natural language, solving problems like color grading, transitions, and overlays in video editing workflows. It takes natural language inputs and outputs modified video files, supporting 9 key operations such as chroma key, blur, and speed adjustments. Ideal for use cases where automated video editing and FFmpeg integration are required.

Canonical page: https://skillsregistry.net/skills/sandraschi-vfx-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sandraschi-vfx-mcp

## Description

Video Effects MCP server — FFmpeg video effects via natural language. Color grade, transitions, chroma key, text overlays, blur, speed, crop, concat. 9 operations.

## Trust

- **Trust score (0–1):** 0.95
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sandraschi/vfx-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": "sandraschi-vfx-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sandraschi-vfx-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sandraschi-vfx-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