"Web Page Content" matching MCP servers:

MCP server providing browser compatibility data for the entire Web Platform.

Enables AI assistants to access HackerNews content through structured search, front page retrieval, latest posts monitoring, detailed item fetching with comment trees, and user profile viewing via the Algolia API.

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.

MCP server that annotates any web page with hover labels — zero extensions, works in any browser

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.

Provides deterministic, read-only design knowledge for AI coding agents to help them choose visual directions, plan UI states, and compose design tokens, all without network access.

A TypeScript-based MCP server that enables AI assistants to execute HTTP requests with full control over methods, headers, and body content. It facilitates seamless interaction with web APIs and endpoints through a versatile tool that handles automatic JSON formatting and response truncation.

Enables interaction with Prismic through tools for reading documents, managing media assets, and performing content migrations or updates. Supports the Prismic Content, Asset, Migration, and Custom Types APIs with secure write operations and multi-transport support.

A PDF debugging MCP server that inspects low-level PDF structure, including indirect objects, content streams, page trees, and resources.

Enables Claude Code to capture and analyze web page screenshots, responsive layouts, and page metadata using Puppeteer. It allows developers to perform visual UI inspections and compare designs across various viewports directly within the terminal.

An MCP server that uses AI to generate structured Asana project plans from diverse sources like text, PDFs, and meeting transcripts. It enables users to preview, generate, and directly sync detailed task lists, subtasks, and dependencies into Asana.

Enables AI models to interact with IBM FileNet Content Manager for document management, folder operations, metadata handling, search, and content extraction through a standardized interface.

Enables AI assistants to create, edit, and manage Telegraph pages programmatically with support for Markdown content, templates, and page export/backup functionality.

Enables AI agents to securely read and extract information from PDF files including text content, metadata, and page counts from both local files and URLs within the project context.

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.

Provides comprehensive design principles and best practices to help LLMs generate modern, accessible web pages through guidance on layouts, colors, and typography. It enables users to review design approaches and access expert recommendations for responsive design, component structure, and current industry trends.

An MCP server that renders JavaScript-heavy Single Page Applications using Playwright to extract clean, LLM-ready Markdown and capture screenshots. It features a singleton browser architecture for high performance and includes built-in SSRF protection for secure web content retrieval.

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.

Enables web performance analysis using Google PageSpeed Insights and Chrome UX Report APIs, providing compact metrics and diagnostics without local browser automation.