# envious-canvas

> Use this tool when you need to streamline image production and asset generation across multiple platforms. The envious-canvas MCP server enables creation, editing, and resizing of images, ensuring brand consistency and efficiency. It accepts various image inputs and outputs customized, platform-ready assets, ideal for use cases requiring high-volume image production and uniform branding.

Canonical page: https://skillsregistry.net/skills/saurabhav88-envious-canvas  
JSON: https://api.skillsregistry.net/v1/skills/saurabhav88-envious-canvas

## Description

An MCP server that turns Claude into a full image production studio, enabling creation, editing, resizing, and brand-consistent asset generation across multiple platforms.

## Trust

- **Trust score (0–1):** 0.47
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/d65wpw4tc1)
- **Repository:** <https://github.com/saurabhav88/envious-canvas>

## 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": "saurabhav88-envious-canvas"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/saurabhav88-envious-canvas` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/saurabhav88-envious-canvas/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