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127,233 tools. Last updated 2026-05-05 10:59

"How to scrape websites and format content in GitHub Markdown" matching MCP tools:

  • Extract web page content and convert it to clean, readable markdown format for analysis, bypassing paywalls and obtaining structured text data from websites.
    Apache 2.0
  • Scrape businesses from Google Maps to collect names, addresses, phone numbers, websites, emails, and ratings. Input a keyword and location to generate targeted leads for outreach.
    MIT
  • Retrieve and display the complete content of an arXiv research paper in markdown format using its unique identifier.
    Apache 2.0
  • Export document content as plain markdown text for external use, sharing, or processing in other applications without additional formatting.
    MIT
  • Convert web pages to clean markdown format by extracting content, removing unnecessary elements, and ranking information for RAG applications.
    MIT

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  • Transform any blog post or article URL into ready-to-post social media content for Twitter/X threads, LinkedIn posts, Instagram captions, Facebook posts, and email newsletters. Pay-per-event: $0.07 for all 5 platforms, $0.03 for single platform.

  • GitHub MCP — wraps the GitHub public REST API (no auth required for public endpoints)

  • Scrape multiple websites simultaneously by submitting up to 100 URLs in one batch request with parallel processing and single webhook notification.
    MIT
  • Retrieve web page content from any URL and process it into raw HTML, cleaned HTML, or readable Markdown format for analysis and integration.
  • Extract web content and convert it to clean Markdown for reading documentation, analyzing content, and gathering information from websites while preserving links and structure.
    MIT
  • Scrape a single web page to extract its content as clean markdown, HTML, links, or screenshots. Supports JavaScript rendering, mobile emulation, and APAC-region IPs. Ideal for one-off URL extraction.
  • Fetch web page content with pagination support and bot-detection avoidance. Retrieve website data in HTML or markdown format with configurable modes for different complexity levels.
    Apache 2.0
  • Convert Markdown to Slack mrkdwn format to ensure bold, italic, and links render correctly. Transforms headers and supports GitHub-Flavored Markdown for clean pasting into Slack messages.
    MIT
  • Perform real-time web searches and scrape content from URLs to find relevant information for research tasks. Supports configurable result counts and search modes.
    MIT
  • Perform real-time web searches and scrape content from URLs using AI-powered search. Configure result counts and search types to find relevant information.
    MIT
  • Convert Markdown to AsciiDoc format, transforming headers, code blocks, links, and images to AsciiDoc syntax. Supports GitHub-Flavored Markdown tables and KaTeX math expressions.
    MIT
  • Extract webpage content into Markdown format, bypassing bot detection and CAPTCHA protections for reliable data collection.
    MIT
  • Scrape up to 10 URLs simultaneously and receive all results as clean Markdown, avoiding repeated individual calls.
    MIT
  • Search Google and scrape top results to Markdown, returning structured data with title, URL, and full page content.
    MIT