# DaVinci Resolve

> Use this tool when you need to automate video editing tasks, integrate AI assistance into your post-production workflow, or streamline project organization and management in DaVinci Resolve. It solves problems such as manual project assembly, color grading, and render management by providing a comprehensive API bridge for accessing and manipulating project resources. With inputs including project information and media pool contents, and outputs such as created and manipulated projects and timelines, this tool is ideal for use cases where efficient video editing and AI-driven workflow optimization are crucial.

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

## Description

DaVinci Resolve MCP Server enables AI assistants to interact directly with DaVinci Resolve video editing software through a comprehensive API bridge. Built with FastMCP, it exposes resources for accessing project information, timeline details, media pool contents, and gallery albums, while providing tools for creating and manipulating projects, timelines, clips, and color grades. The implementation connects to Resolve's Python API, handling the complexities of cross-platform scripting module discovery and object management. This server is particularly valuable for video editing workflows where AI assistance can help with project organization, timeline assembly, color grading, and render management without requiring manual switching between applications.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-02

## Source

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

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