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Fetch URLs, parse HTML, run static page scripts, and render terminal screenshots.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "kage-mcp" yet — see the docs or source repo.
Fetch this URL and parse the HTML. Extract the page title, all H1/H2 headings, and the main links, then return them as a structured list: https://example.com
A structured summary of the page title, heading hierarchy, and links for quick review.
Here is a static HTML snippet. Execute JavaScript to count all button elements and output the text of each button: <html><body><button>Save</button><button>Cancel</button></body></html>
Returns the total button count and their text, useful for page inspection and frontend debugging.
Fetch this page and render a terminal-style screenshot highlighting the page title and the first few paragraphs of content: https://example.com/docs
A terminal-style preview image of the page, suitable for quickly presenting webpage content.
Scrape dynamic websites, extract links and images, and capture screenshots automatically.
Fetch, parse, screenshot, and browse static pages via MCP without a real browser.
Collect web data, analyze text, and generate reports or presentation content.
Scrape websites, crawl deeply, and automate structured research extraction.
Automate browser tasks, capture console logs, and take screenshots for web workflows.
Politely scrape websites and extract structured data with bounded async crawling.