# Capcut-MCP

> Capcut-MCP — iamtatenda-capcut-mcp. Use this tool when you need to edit videos directly in CapCut using conversational language, solving the problem of manual video editing and media uploading. It connects AI coding agents to CapCut AI Lab, accepting plain language inputs and producing automated timeline assemblies and multi-track audio outputs. Ideal for streamlining video editing workflows, especially when working with AI coding agents like Antigravity, Claude, or Cursor.

Canonical page: https://skillsregistry.net/skills/iamtatenda-capcut-mcp  
JSON: https://api.skillsregistry.net/v1/skills/iamtatenda-capcut-mcp

## Description

Direct video edits inside CapCut using plain conversational language. Connects AI coding agents (Antigravity, Claude, Cursor) to CapCut AI Lab with automated timeline assembly, multi-track audio, and zero-dependency media uploading.

## Trust

- **Trust score (0–1):** 0.83
- **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/iamtatenda/Capcut-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": "iamtatenda-capcut-mcp"
    }
  }
}
```

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