# EverArt

> Use this tool when you need to generate images from text prompts using multiple AI models, creating visual content for applications such as automated illustration, concept visualization, and rapid prototyping. It provides a streamlined interface for image creation, supporting various styles including photorealistic and vector art, and handles errors robustly. Ideal for creative tasks, content generation, and visual design, it allows AI systems to easily incorporate visual content creation into their workflows.

Canonical page: https://skillsregistry.net/skills/anthropic-everart  
JSON: https://api.skillsregistry.net/v1/skills/anthropic-everart

## Description

This EverArt MCP server, developed by Anthropic, provides AI assistants with image generation capabilities using the EverArt API. Built with TypeScript and leveraging the EverArt SDK, it offers a streamlined interface for creating images from text prompts using multiple AI models. The server implements robust error handling, automatic browser opening for generated images, and supports various image styles including photorealistic and vector art. By abstracting the complexities of API communication and image generation, it allows AI systems to easily incorporate visual content creation into their workflows. This implementation is particularly valuable for creative applications, content generation, and visual design tasks, enabling use cases such as automated illustration, concept visualization, and rapid prototyping of visual ideas.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-06-16

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/anthropic-everart)
- **Repository:** <https://github.com/modelcontextprotocol/servers-archived/tree/HEAD/src/everart>

## 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": "anthropic-everart"
    }
  }
}
```

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