"Guidance on WordPress Theme Development" matching MCP servers:

AI-native web scraper: scrape, crawl and map any site to clean markdown over stdio. MIT-licensed.

Enables AI tools to interact with browsers for enhanced frontend development, providing context to LLMs through tools like API call analysis, screenshots, element selection, and documentation ingestion.

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.

MCP server for axe-core accessibility audits. Enables scanning URLs or HTML for WCAG violations with impact levels and fix guidance.

Provides 30 MCP tools for browser extension development, including scaffolding, running, debugging, inspecting, and publishing cross-browser extensions. It enables AI agents to interact with live browsers for debugging and development.

Provides web development tools including taking screenshots and listing screens via MCP.

Enables AI agents to perform keyless web search through a self-hosted SearXNG instance, returning engine-transparent results and configuration guidance when JSON output is disabled.

Analyzes websites like a senior performance engineer and produces prioritized Core Web Vitals recommendations. Provides 16 tools for detailed performance analysis, including Lighthouse, CrUX, WordPress and Cloudflare inspections.

A lightweight MCP server to control Arc Browser on macOS, optimized for frontend development with 30 tools including DOM operations, debugging, and network monitoring.

Enables automated web accessibility scans for WCAG compliance using Playwright and Axe-core, providing visual and JSON reports with remediation guidance.

Enables reading and managing WordPress sites via the WP REST API, including posts, pages, media, taxonomies, users, and arbitrary REST endpoints, with optional authenticated write operations.

Enables AI agents to perform comprehensive accessibility audits on websites using Playwright and axe-core against WCAG standards. Provides detailed compliance reports with violation summaries and remediation guidance across multiple browsers.

MCP server to control Arc Browser on macOS via AppleScript, enabling tab, window, space, and page operations along with frontend/backend development tools like network monitoring, console capture, and API testing.

Enables AI agents to securely control a user's existing Chrome profile locally, providing typed browser actions, form and editor support, WordPress workflows, terminal automation, and Figma inspection with policy-based authorization and redacted auditing.

Enables AI agents to drive live mobile and desktop browser sessions and measure web/responsive UIs directly from the DOM — computing contrast ratios, touch-target sizes, overflow, clipping, and theme drift as precise text findings tied to CSS selectors instead of screenshot guesswork. A human and the agent share the same live session, so pinned notes, navigation, taps, and device or theme switches are visible to both.

Enables AI assistants to take screenshots of localhost development servers for visual verification of UI changes, reducing manual debugging cycles.

An MCP server that lets agents drive and measure live mobile and desktop browser sessions, returning text findings on contrast, touch targets, overflow and theme drift instead of guesses from screenshots. It also lets the human and the agent share one live session, so pinned notes and frames are read directly by the agent.

Enables AI agents to scan web pages for accessibility issues and get AI-powered remediation guidance using Axe DevTools for Web.

Enables AI agents to inspect live web and responsive UIs across mobile and desktop sessions, returning measured text findings on contrast ratios, touch-target sizes, overflow, and theme drift instead of screenshot guesses. It also lets a human and the agent share one live panel, so the agent can navigate, tap, and type while reading the user's pinned notes and frames.

Enables an agent and a human to drive the same live mobile and desktop browser sessions of web/responsive UIs, returning contrast ratios, undersized touch targets, overflow and theme-drift problems as text findings attached to exact selectors instead of screenshot guesses. The agent can also read notes the human pins to a frame, so both act on the same measured screen.