# DaVinci Resolve

> Use this tool when you need to automate video editing and post-production tasks in DaVinci Resolve Studio using natural language commands. It solves problems such as streamlining workflow navigation, media management, and rendering, by providing a Python scripting API interface that accepts text inputs and outputs controlled edits. Ideal for use in professional video editing and color grading contexts where efficiency and precision are crucial.

Canonical page: https://skillsregistry.net/skills/barckley75-davinci-resolve  
JSON: https://api.skillsregistry.net/v1/skills/barckley75-davinci-resolve

## Description

This community MCP integration connects AI assistants to DaVinci Resolve Studio through the application's native Python scripting API, enabling natural language control of video editing and post-production workflows. It exposes 48 tools across project navigation, media pool management, timeline editing, color grading, Fusion compositing, and render job queuing. The server communicates directly with Resolve via the DaVinciResolveScript library using stdio transport.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/barckley75-davinci-resolve)
- **Repository:** <https://github.com/barckley75/resolve-claude-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": "barckley75-davinci-resolve"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/barckley75-davinci-resolve` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/barckley75-davinci-resolve/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
