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Scrape static HTML pages and extract structured content for AI analysis.
The tool claims a narrow function: scraping static HTML with BeautifulSoup for MCP client analysis, with no stated API keys or explicit third-party remote endpoints. No strong high-risk red flags are evident from the materials, but it still warrants caution as a third-party open-source tool that executes locally and performs web fetching, especially given its low adoption and unclear maintenance status.
The materials explicitly state that no keys or environment variables are required. There is no indication that users must provide API tokens, account credentials, or other sensitive local authentication material, so credential exposure appears limited.
Although no fixed remote endpoint is declared, 'scrapes static HTML' implies the tool will make network requests to fetch web pages; this is a normal capability for this tool category. The materials do not specify request scope, destination restrictions, or whether scraped results are logged or forwarded, so the actual access targets and egress boundaries should be reviewed.
The system flags that it executes code; as an MCP server, it typically runs a local process to handle scraping and parsing. The provided materials do not show requests for system privileges beyond its stated purpose, nor a clear ability to run arbitrary shell commands, so this fits normal caution rather than high risk.
Based on the description, the main data accessed should be HTML content from user-specified web pages. The materials do not state that it needs extra local file read/write access or broad data permissions. Because the README is absent, it is unclear whether it creates caches, logs, or temporary files, so default on-disk data handling should be verified.
A positive factor is that the source is publicly available on GitHub and auditable, which lowers risk compared with closed-source alternatives. However, it comes from a third-party registry, has no declared license, only 0 stars, unknown maintenance status, and lacks README detail, so evidence for supply-chain trust and ongoing maintenance is weak and merits code and dependency review before use.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MCP Web Scraper" yet — see the docs or source repo.
Please scrape the static HTML of this page, extract the title, body, author, and publish date, and return them as JSON: https://example.com/article
A structured JSON output with key article fields for analysis or storage.
Scrape product names, prices, links, and ratings from this category page and output them as tabular data: https://example.com/shop
A product list with key fields ready for comparison, analysis, or cleaning.
Scrape all visible links on this page, group them into navigation, main content, and footer, and provide link text with URLs: https://example.com
A categorized list of links that helps quickly understand site structure and entry points.
Scrape web pages and extract structured data with CSS or XPath selectors.
Politely scrape websites and extract structured data with bounded async crawling.
Fetch web content and return it in HTML, JSON, text, or Markdown.
Fetch web pages as markdown for LLM reading, analysis, and automation.
Analyze webpage structure and extract layout, navigation, and content details.
Fetch webpages, extract clean content, discover links, and batch process URLs.