# unofficial-davinci-mcp

> unofficial-davinci-mcp — wassermanproductions-unofficial-davinci-mcp. Use this tool when you need to automate video editing tasks in DaVinci Resolve, such as beat-synced cuts, color matching, and loudness normalization. It solves problems like inefficient manual editing and inconsistent video quality, allowing for seamless integration with both Resolve Studio and the free edition. This tool accepts video files and editing parameters as inputs and outputs professionally edited videos, making it ideal for content creators and editors seeking to streamline their workflow.

Canonical page: https://skillsregistry.net/skills/wassermanproductions-unofficial-davinci-mcp  
JSON: https://api.skillsregistry.net/v1/skills/wassermanproductions-unofficial-davinci-mcp

## Description

Lets AI agents drive DaVinci Resolve for video editing, including beat-synced cuts, color matching, and loudness normalization, with both live Resolve Studio control and file-based interchange for the free edition.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w1at9lnt1n)
- **Repository:** <https://github.com/wassermanproductions/unofficial-davinci-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": "wassermanproductions-unofficial-davinci-mcp"
    }
  }
}
```

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