imagedimensions-mcp
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@imagedimensions-mcpaudit images on https://example.com"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
imagedimensions-mcp
An MCP server that audits the images on any public web page — natural vs. rendered dimensions, oversized-image detection, and format breakdown — so AI agents (Claude, Cursor, Windsurf, etc.) can check image performance during development.
Powered by imagedimensions.com. The scan runs server-side, so no local browser or Chrome install is required.
Install / run
// Claude Desktop / any MCP client config
{
"mcpServers": {
"imagedimensions": {
"command": "npx",
"args": ["-y", "imagedimensions-mcp"]
}
}
}Related MCP server: accessibility-mcp-server
Tool
scan_image_dimensions
Param | Type | Description |
| string (required) | Public URL of the page to audit. |
| number (optional) | Area-overshoot ratio to flag as oversized. Default |
Returns a text report plus structured content:
total / visible image counts and CSS-background count
modern-format share (WebP + AVIF)
format breakdown
the list of oversized images (natural → rendered, overshoot ratio, format, src)
a link to the full visual report on imagedimensions.com
Example agent uses: "Audit the images on https://example.com," "Which images on this page are oversized and hurting LCP?", "What % of this site's images use modern formats?"
Why "oversized" matters
An image downloaded much larger than the box it renders into wastes bandwidth and slows Largest Contentful Paint — the most common image-performance mistake on the web. See the writeup.
Config
IMAGEDIMENSIONS_API_BASE— override the API base (defaulthttps://imagedimensions.com).
License
MIT
Maintenance
Tools
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