# melt-7 MCP Server

> Use this tool when you need to automate video editing tasks, such as creating complex timelines with multiple tracks, transitions, and effects. It solves problems like efficient video composition and rendering, accepting inputs like clip sequences, transition settings, and filter parameters, and producing MP4 output files. Ideal for use cases requiring programmatic video editing and rendering, such as automated content creation or video post-production workflows.

Canonical page: https://skillsregistry.net/skills/tyrelcb-melt-7  
JSON: https://api.skillsregistry.net/v1/skills/tyrelcb-melt-7

## Description

Enables agentic video editing and composition via MCP, allowing creation and manipulation of multi-track timelines with clips, transitions, filters, and text overlays, then rendering to MP4 using the melt-7 CLI.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **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/gvmb7h24so)
- **Repository:** <https://github.com/TyrelCB/melt-7>

## 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": "tyrelcb-melt-7"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tyrelcb-melt-7` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tyrelcb-melt-7/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