URL Text Fetcher MCP server built with FastMCP that provides two essential web scraping tools for extracting content from web pages. The implementation uses requests and BeautifulSoup4 to fetch and parse HTML, offering a fetch_url_text tool that extracts all visible text from any URL with proper formatting and line breaks, and a fetch_page_links tool that returns all hyperlinks found on a page. Designed for AI assistants that need to analyze web content, research topics across multiple pages, or build workflows involving web data extraction and link discovery.
Cognium trust score
100%
Tier
Verified
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
Last scanned 2026-09-19.
Returns 7 tools: search_skills, get_skill, list_leaderboard, get_trust_breakdown, resolve_composition, plus the ChatGPT-connector search and fetch. Every tool is annotated read-only.
Resolve this skill directly via MCP tools/call get_skill.