# mcp-kdenlive

> Use this tool when you need to automate video editing tasks, such as importing media, building timelines, and applying effects, in a Kdenlive video editor instance. It solves problems like streamlining video production workflows and integrating video editing into larger automated processes. The tool accepts inputs like media files and editing commands, and outputs rendered video files via a D-Bus interface.

Canonical page: https://skillsregistry.net/skills/d-ogi-mcp-kdenlive  
JSON: https://api.skillsregistry.net/v1/skills/d-ogi-mcp-kdenlive

## Description

Enables AI agents to control a running Kdenlive video editor instance via D-Bus for tasks like importing media, building timelines, adding transitions, markers, effects, and rendering.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j3szyylq6x)
- **Repository:** <https://github.com/D-Ogi/mcp-kdenlive>

## 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": "d-ogi-mcp-kdenlive"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/d-ogi-mcp-kdenlive` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/d-ogi-mcp-kdenlive/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