# DaVinci Resolve

> Use this tool when you need to automate video editing, color grading, and media management tasks in DaVinci Resolve. It provides programmatic access to complex workflows through a Python-based scripting interface, solving problems like timeline manipulation and clip analysis. Ideal for developers and editors seeking to streamline their workflow, it accepts script inputs and outputs automated video editing functions.

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

## Description

A Python-based MCP server for DaVinci Resolve that provides programmatic access to video editing, color grading, and media management functions. Created by Samuel Gursky, this implementation enables developers and editors to automate complex workflows in DaVinci Resolve through a flexible scripting interface, supporting operations like timeline manipulation, clip analysis, color correction, and media pool management.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-28

## Source

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

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