Fetcher MCP is a server that enables AI assistants to retrieve web page content using Playwright's headless browser capabilities. It excels at handling dynamic JavaScript-heavy websites by executing client-side code, and includes intelligent content extraction through Mozilla's Readability algorithm to remove ads and non-essential elements. The implementation offers both single URL and batch fetching tools, supports HTML or Markdown output formats, and automatically blocks unnecessary resources like images and stylesheets to improve performance. This tool is particularly valuable for research workflows, content analysis, and information gathering that requires processing of modern web applications.
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Retrieve web page content from a specified URL using Playwright headless browser. Supports parameters: url (required), timeout (default 30000), waitUntil (default 'load'), extractContent (default true), maxLength, returnHtml (default false), waitForNavigation (default false), navigationTimeout (default 10000), disableMedia (default true), debug.
Batch retrieve web page content from multiple URLs in parallel using multi-tab parallel fetching. Supports parameters: urls (required), along with other parameters the same as fetch_url.
Install Playwright Chromium browser binary automatically. Supports parameters: withDeps (default false), force (default false).