# imagedimensions-mcp

> Use this tool when you need to optimize image performance on web pages by detecting oversized images and comparing natural vs rendered dimensions. It audits images on any public web page and provides a format breakdown, helping identify areas for improvement. Ideal for use during development to ensure fast and efficient image rendering.

Canonical page: https://skillsregistry.net/skills/bishop81-imagedimensions-mcp  
JSON: https://api.skillsregistry.net/v1/skills/bishop81-imagedimensions-mcp

## Description

Audits images on any public web page to detect oversized images, compare natural vs rendered dimensions, and provide format breakdown, helping AI agents check image performance during development.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/xi3whkqpiz)
- **Repository:** <https://github.com/Bishop81/imagedimensions-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": "bishop81-imagedimensions-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bishop81-imagedimensions-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bishop81-imagedimensions-mcp/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