MCP Servers

imagedimensions-mcp

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.

Category

README

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"]
    }
  }
}

Tool

`scan_image_dimensions`

Param	Type	Description
`url`	string (required)	Public URL of the page to audit.
`oversizedThreshold`	number (optional)	Area-overshoot ratio to flag as oversized. Default `4` (≈2× per dimension).

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 (default https://imagedimensions.com).

License

MIT

Recommended Servers

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

E2B

Using MCP to run code via e2b.

Neon Database

MCP server for interacting with Neon Management API and databases

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.