# davinci-resolve-mcp-free

> davinci-resolve-mcp-free — mdizzleza-davinci-resolve-mcp-free. Use this tool when you need to automate video editing tasks in DaVinci Resolve through natural language commands, solving problems like tedious manual editing and limited access to premium features. It provides 162 tools for timeline editing, color grading, and rendering, with inputs including voice commands and outputs including edited video files. Ideal for content creators and editors seeking to streamline their workflow and enhance productivity.

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

## Description

Enables AI assistants to control DaVinci Resolve (Free and Studio) through natural language, providing 162 tools for timeline editing, color grading, rendering, and more. Includes local AI replacements for Studio-only features like voice isolation, background removal, and transcription.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pddj5tt1gj)
- **Repository:** <https://github.com/MDizzleZA/davinci-resolve-mcp-free>

## 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": "mdizzleza-davinci-resolve-mcp-free"
    }
  }
}
```

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