# DaVinci Resolve Fusion

> Use this tool when you need to automate visual effects and motion graphics workflows in DaVinci Resolve. It solves problems such as streamlining compositing tasks, creating custom effects, and integrating AI-driven workflows, by providing a Python interface to control Fusion compositing. It takes in Python scripts and outputs composed visuals, making it ideal for use cases that require automated video editing and effects processing.

Canonical page: https://skillsregistry.net/skills/sergiocz28-resolve-fusion  
JSON: https://api.skillsregistry.net/v1/skills/sergiocz28-resolve-fusion

## Description

DaVinci Resolve Fusion enables AI agents to control Fusion compositing through a TCP socket bridge that runs a Python listener inside Resolve's console. Provides tools for retrieving composition info, creating and connecting nodes, setting parameters, animating values, generating masks, and executing Fusion scripts. Works with the free version of DaVinci Resolve without requiring Studio.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sergiocz28-resolve-fusion)
- **Repository:** <https://github.com/sergiocz28/resolve-fusion-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": "sergiocz28-resolve-fusion"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sergiocz28-resolve-fusion` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sergiocz28-resolve-fusion/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