"Video content analysis and understanding for large language models" matching MCP servers:

MCP server that fetches and converts website pages into clean markdown for agents, with sitemap-based discovery, disk caching, and polite crawling (robots.txt, rate limiting).

MCP server that fetches raw HTML content from a given URL to provide web context to LLMs.

Enables agents to crawl URLs and retrieve page content as fixed-shape structured JSON, including title, markdown, links, word count, and error status.

A cinema-grade video production MCP server that enables automated website recording, editing, and AI-powered narration using ffmpeg and Playwright. It provides tools for color grading, captioning, and converting videos into social media formats through natural language commands.

Enables crawling websites, including JavaScript-rendered pages, and returns extracted page content as JSON with structured error reporting.

Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.

Gives Claude control of a real, headed Chromium browser via Playwright, enabling web navigation, clicking, typing, screenshots, and JavaScript evaluation.

A CDP-native MCP server that lets AI agents drive a real Chrome browser with deep network/console inspection, robust page interaction, and the ability to reverse-engineer a site's API flow into runnable code with dependency chaining and replay verification.

A self-hosted, read-only MCP service that searches public YouTube and Bilibili videos and produces compact evidence packages with verified metadata, timestamped captions or ASR, frames, OCR, and contact sheets for ChatGPT/Codex analysis.

A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.

Provides a local MCP server for AI-powered web crawling on Windows, enabling agents to directly crawl and extract web content without requiring WSL.

A Model Context Protocol server that provides web search capabilities using Google Custom Search API and webpage content extraction functionality.

Enables AI agents to drive real Google Chrome with stealth and captcha handling, using Patchright to avoid bot detection.

MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.

MCP server that gives AI agents access to current web information through web_search and fetch_url tools, using Tavily, Brave, and DuckDuckGo providers with automatic fallback.

TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.

Collects page performance metrics using Playwright, CDP, and Lighthouse, and returns a normalized PerformanceReport.

Enables web search via Serper API with advanced search operators and webpage scraping capabilities to extract content in plain text or markdown format.

A server that leverages Cloudflare Browser Rendering to extract and process web content for use as context in LLMs, offering tools for fetching pages, searching documentation, extracting structured content, and summarizing content.

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