"Plotly Dash - A Python Framework for Building Interactive Web Dashboards" matching MCP servers:

Enables retrieval of compact APG pattern cards, such as button, modal, and dialog, through an MCP tool so clients can consult accessibility guidance.

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

Contract-driven test enforcement and reporting for LLM-generated code via MCP, VS Code, Copilot CLI, Claude, Cursor, or Python SDK.

A validation layer for AI coding assistants that enforces explicit LLM evaluations on plans, code diffs, and tests to ensure safer and higher-quality code.

A local MCP server that parses Robot Framework output.xml files, scores and groups failures, and exposes structured triage data to Claude Desktop and Claude Code.

Enables measuring how the same MCP tools implemented in FastMCP, the official MCP Python SDK, and fastapi-mcp differ in token overhead, schema fidelity, and call latency.

Enables cross-browser mobile-first responsive layout auditing and browser automation, including overflow detection, tap target checks, viewport/media query introspection, and screenshot matrices via MCP.

MCP server that lets AI editors execute JavaScript, read console output, and simulate clicks/input on static web pages. Supports multiple browser pages and can be deployed remotely via HTTP transport.

Enables AI agents to rapidly drive and inspect real web pages through persistent browser sessions, using accessibility-tree snapshots and DevTools-grade diagnostics to identify and diagnose issues.

Enables AI assistants to inspect, debug, and test web pages using Playwright. Provides comprehensive DOM inspection, visibility debugging, layout validation, and element finding capabilities in real browser environments.

Provides Codex and other MCP clients a local web debugging server that coordinates a browser session, JavaScript debugger, bounded runtime evidence, and reproducible flow verification for vanilla HTML/JS projects.

An MCP server that gives AI agents the ability to inspect, observe, and automate WKWebViews on connected iOS devices via Safari Web Inspector.

A Node.js-based frontend security audit tool that performs comprehensive dependency security audits for both local projects and remote repositories. Generates detailed Markdown reports with vulnerability detection, risk assessment, and fix recommendations.

A Model Context Protocol server that enables generating and managing Robot Framework test automation with SeleniumLibrary, including test case generation, page object models, and advanced web testing capabilities.

Provides web accessibility analysis and color blindness simulation using axe-core and Puppeteer, enabling detailed accessibility checks and visual simulations based on WCAG guidelines.

Review AI-generated HTML slides or reports in the browser, anchor comments to specific passages, and have the agent fix them via MCP, with tools for inspection, commenting, layout checking, and export to PDF/PPTX.

Enables AI coding agents to autonomously interact with and test web applications in a real browser, providing DOM/Accessibility tree extraction, runtime telemetry, screenshot capture, and Markdown test reports.

Exposes read-only and write probes over a remote Streamable-HTTP /mcp endpoint so users can verify that ChatGPT Web discovers and calls remote tools, and test whether write actions actually execute on their plan. Real HWPX document editing is not yet supported; this P0 release only measures connectivity and read/write action boundaries.

Provides AI coding assistants with on-demand access to component specs, test scenarios, accessibility requirements, and build guides from the Web UI Component Specification.

Enables AI coding assistants to validate HTML/CSS markup using W3C APIs, perform technical SEO audits, check broken links, and validate JSON-LD schemas directly in local workspaces.