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672,480 tools. Updated 2026-10-18 10:30

"MCP Server Fetch - A server for fetching web content and URLs" matching MCP tools:

  • Fetch 1-5 public web page URLs as Markdown in a single batch call. Returns each page's text, title, and final URL, plus per-page errors for any that fail.
    MIT
  • Search the web for a query and return ranked titles, snippets, and URLs. Use for open-ended research or discovering pages; for a specific URL, use fetch_url.
    MIT
  • Fetch URLs and return their content as clean markdown for reading articles, documentation, and PDFs. Extracts text without snippets, with optional raw HTML.
    MIT
  • Retrieves full-text article content from PMC or OpenAlex, returning chunked text and offset for pagination. When retrieval fails, supplies candidate URLs for agent-based fetching.
    MIT

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  • HTTP status and content type for a public URL. Body discarded.

  • 26 tools for AI agents: read any web page as clean Markdown, get metadata, structure and tech stack, and check redirects, SSL, security headers, robots.txt, sitemaps, feeds, WHOIS/DNS, SEO, broken links, email authentication (SPF, DMARC, DKIM) and SSO (SAML, OIDC), plus cron, regex, color, Unicode, time zone utilities and Hyperliquid market data. Hosted on Apify; authenticate with an Apify API token (Bearer). Pay per successful call ($0.001-$0.003).

  • Fetch a web page and split its main content into heading-aware, token-bounded chunks for RAG and embeddings. Each chunk includes its heading path and token count.
    MIT
  • Analyze website structure by mapping URLs to discover content organization, navigation paths, and site architecture for audits and content discovery.
    MIT
  • Retrieve documents from web URLs or local file paths and convert them into MCP content blocks as resource links or embedded resources.
    MIT
  • Fetch web pages and convert them to clean markdown, or search the internet for crypto articles, reports, and resources. Retrieves web data for LLM-friendly use.
    MIT
  • Extract and process web content from URLs for data collection, content analysis, and research tasks, supporting multiple formats and extraction depths.
    MIT
  • Extract structured data from web pages by supplying URLs and a prompt, with options for web search and retries.
    MIT
  • Fetch web URLs, convert to markdown or indexed entries, store in a searchable knowledge base, and retrieve sections on demand without raw content entering the conversation.
    Elastic 2.0
  • Search the web via DuckDuckGo, crawl pages for content, and fetch news articles. Save results to disk using harvest to avoid high context costs.
    MIT
  • Read and return full page content from URLs or local files. Use when you have a specific URL and need its content, not for finding URLs.
    Apache 2.0
  • Extract text content from any URL: web pages (including JavaScript-rendered), YouTube videos (transcript), and documents (PDF, DOCX, PPTX). Use preview mode to check structure before fetching full content.
    MIT
  • Search the live web via Yandex index for fresh URLs, titles, and snippets, ideal for Russian-language and .ru content. Use before extracting pages to get relevant links.
    MIT