# Supercut

> Supercut — ai-supercut-mcp. Use this tool when you need to efficiently review and analyze multimedia content, such as recordings, transcripts, and frames, to extract valuable insights or identify key information. It solves problems related to content organization, search, and annotation, streamlining workflows for users with appropriate permissions. By providing a unified interface for accessing and examining various media types, Supercut enables users to quickly find and understand relevant data.

Canonical page: https://skillsregistry.net/skills/ai-supercut-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ai-supercut-mcp

## Description

Read recordings, transcripts, frames, and comments with your permissions.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Updated:** 2026-09-22

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/ai.supercut%2Fmcp)

## Use it

MCP endpoint published by the skill: `https://mcp.supercut.ai/mcp`

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": "ai-supercut-mcp"
    }
  }
}
```

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