# Rive Editor

> Use this tool when you need to automate repetitive design tasks, such as creating complex View Models, State Machines, and Shapes, to accelerate your workflow. It connects the Rive Editor to AI tools, enabling assistants to generate complex components, and requires user prompts to make changes to Rive files. Ideal for designers who want to delegate time-consuming setup tasks to AI while maintaining creative control over the final output.

Canonical page: https://skillsregistry.net/skills/rive-editor  
JSON: https://api.skillsregistry.net/v1/skills/rive-editor

## Description

This MCP integration connects the Rive Editor to AI tools through the Model Context Protocol, enabling AI assistants to automate repetitive design tasks like creating complex View Models, State Machines with hundreds of states and layers, Layouts, and Shapes. Currently available in the Early Access version of the Mac Desktop app with Windows support coming, it works with MCP-compatible AI tools like Cursor and requires the Rive Early Access app to be running to provide the server connection at localhost:9791/sse. Users can prompt the AI to generate complex Rive components and must type "End Prompt" to allow the AI to make changes to the Rive file, making it valuable for designers who want to accelerate their workflow by delegating time-consuming setup tasks to AI while maintaining creative control over the final output.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/rive-editor)
- **Repository:** <https://github.com/rive-app/rive-docs>

## 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": "rive-editor"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rive-editor` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rive-editor/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