"A tool for inspecting website DOM and CSS." matching MCP servers:

Enables QA to interactively inspect DOM elements in a visible browser, generate resilient Robot Framework locators and Page Objects, and validate selectors via natural language.

Enables AI agents to record and time-travel through DOM mutations, inspect and interact with live pages, capture screenshots, and diagnose UI disappearance or layout changes through a 34-tool MCP interface.

Enables CSS analysis with 150+ metrics, MDN documentation retrieval, and browser compatibility checks for CSS properties.

Acts as a CSS Tutor, providing personalized updates about CSS features by fetching latest news, tracking user knowledge, and guiding AI clients.

Token-efficient browser automation for AI agents, filtering the DOM to only interactive elements and grouping them by page section, reducing token usage by 3-13x compared to Playwright MCP.

Drives a real Chromium browser to extract a page's DOM into compact Semantic JSON with Playwright-native locators, enabling AI agents to generate consistent, accurate Playwright tests.

Provides a tool to download entire websites using wget. It preserves the website structure and converts links to work locally.

Enables real-time browser control and DOM interaction through a Chrome extension bridge, supporting navigation, snapshots, clicks, screenshots, and JavaScript execution.

Enables LLMs to perform addition calculations through a stdio-based MCP server with an add_numbers tool and type-safe validation.

MCP server enabling Claude Code to capture screenshots of Windows applications through WSL2, allowing AI to diagnose UI errors and verify layouts.

Enables an MCP client to query a token-driven SCSS design system out of the box, with no manual SDK or zod install step, exposing 30 tools covering themes, mixins, functions, tokens, animations, components, recipes, doc readers, size resolution, and prompt assembly. It resolves that data directly from the installed css-is-awesome package, so answers always match the version the user actually has.

A custom MCP tool that integrates Perplexity AI's API with Claude Desktop, allowing Claude to perform web-based research and provide answers with citations.

A Puppeteer-based server designed for remote debugging, E2E testing, and DOM inspection of frontend applications. It allows users to interact with page elements, capture screenshots, monitor network traffic, and execute JavaScript directly within a browser environment.

A Model Context Protocol server that provides a scratchpad tool for LLMs to organize thoughts, take notes, and plan approaches to complex problems.

Captures high-quality screenshots of web pages with automatic resolution limiting and tiling optimized for Claude Vision API and other AI models.

An MCP server for automated website generation that transforms Excel spreadsheets and structured data into responsive portfolios, catalogs, and directories. It enables users to create complete websites, add pages, and generate components through natural language and template-based integration.

A-MEM is a self-evolving memory system for coding agents that automatically organizes knowledge into a Zettelkasten-style graph with dynamic relationships, enabling semantic and structural search.

MCP server that routes natural language requests to structured tool calls using a LoRA-tuned small language model, with built-in validation, retry, and fallback recovery.

Enables AI agents to control a Playwright-driven browser through natural-language instructions, including page interaction and live browser task execution.

Provides agents with tools to score a page's AI readiness, check which AI crawlers robots.txt blocks, and assess passage citability—all performed locally.