# davinci-resolve-mcp

> Use this tool when you need to integrate AI coding assistants with DaVinci Resolve, enabling natural language query and control. It solves problems of inefficient manual editing and enhances collaboration between humans and AI agents in video editing workflows. The tool takes natural language inputs and outputs controlled editing commands, ideal for use cases where automated editing tasks are required.

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

## Description

A Model Context Protocol (MCP) server that connects AI coding assistants to DaVinci Resolve, enabling query and control through natural language.

## Trust

- **Trust score (0–1):** 0.12
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/konpy4bq19)
- **Repository:** <https://github.com/igamenovoer/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": "igamenovoer-davinci-resolve-mcp"
    }
  }
}
```

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