"How to describe web content using a URL" matching MCP servers:

Enables URL parsing and building from components, plus query string parsing, all without keys or online dependencies.

Enables URL shortening and management through MCP, allowing creation of short links with optional tags and expiry, search, and stats.

An MCP (Model Context Protocol) server for handling GitHub URLs with validation and parsing capabilities. This server provides tools to convert between GitHub repository information and URLs, with intelligent validation to distinguish between public repositories, private repositories, and non-exist

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.

Provides a simple tool to shorten URLs using the CleanURI API, designed to run as a FastMCP server that can be integrated with agent or tool-based systems.

A Model Context Protocol (MCP) server that enables AI assistants to download files from URLs to the local filesystem.

Enables AI assistants to interact directly with Strapi v5 CMS content through full CRUD operations, media uploads, and content type exploration using Strapi's Document Service API.

Provides URL parsing and analysis tools, including component parsing, deterministic hash generation, heuristic safety checks, and metadata extraction, all without external HTTP requests.

Enables management of WordPress posts and pages including creating, updating, deleting, duplicating, scheduling, and bulk editing content through the WordPress REST API.

Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.

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 converting a public release-note URL into ordered upgrade tasks with source excerpts, anchors, confidence, and uncertainty, without executing release text or project code.

MCP server for AI agents to send notifications, copy to clipboard, request confirmations, and collect text input from users across their devices.

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.

Routes one brief to the right image model across 60+ (gpt-image-1.5, Ideogram 3, Recraft V4, Flux), validates the output, and fans out to iOS/Android/PWA/favicon/visionOS/Flutter bundles. Works without an API key via Pollinations, HF Inference, Stable Horde, or host-LLM inline SVG.

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.

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

A Model Context Protocol server that converts Markdown content to HTML format.

An MCP server that provides access to project files and their contents, allowing users to retrieve file data from specified project directories with error handling and configuration options.