# davinci-resolve-mcp

> Use this tool when you need to automate video editing tasks or integrate DaVinci Resolve into your workflow. It solves problems such as manual editing, color grading, and rendering by providing programmatic control over 440+ tools. The tool accepts scripting inputs and outputs project files, making it ideal for AI-powered video editing and post-production contexts.

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

## Description

An MCP server that exposes the complete DaVinci Resolve scripting API, enabling AI assistants to control DaVinci Resolve programmatically with over 440 tools for project management, timeline editing, color grading, rendering, and more.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/q73x05amry)
- **Repository:** <https://github.com/lordhoell/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": "lordhoell-davinci-resolve-mcp"
    }
  }
}
```

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