Retrieve relevance-ranked web content with actual page text, tables, and code for AI grounding and RAG pipelines.
MIT
258,902 tools. Last updated 2026-07-04 20:52
"A tool for fetching and retrieving web pages or web content" matching MCP tools:
- Convert webpages into clean, formatted markdown for extracting content from documentation, articles, and web pages. Fetches any webpage and transforms HTML content into readable markdown format.MIT
- Extract clean content from multiple web pages simultaneously to compare information across sources or gather data from several pages at once.Apache 2.0
- 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
- Search the web to find relevant web pages on any topic. Returns titles, URLs, snippets, and relevance scores.MIT
- Extract and retrieve web page content from any URL to analyze information for further processing.MIT
Matching MCP Servers
- AlicenseAqualityBmaintenanceA Model Context Protocol server that provides real-time web search capabilities to AI assistants through pluggable search providers, currently integrated with the Brave Search API.Last updated115MIT
- Flicense-qualityDmaintenanceProvides a Google search tool via the Serper API, returning structured results and a summary answer for LLMs like Claude.Last updated1
Matching MCP Connectors
Create, edit, preview, publish, and manage web pages from MCP-capable AI clients.
URL to clean markdown for LLMs: a polite, robots.txt-respecting web reader. Free, no API key
- Perform web searches to gather real-time information, news, and detailed content analysis with customizable parameters for results, domains, and timeframes.MIT
- Search the web using DuckDuckGo to find relevant information, web pages, and summaries for any query. Get results with titles, URLs, and detailed content to access real-time web data.Apache 2.0
- Capture screenshots of web pages or HTML content, returning base64-encoded PNG or JPEG images. Supports custom viewport size, full page capture, and cookie injection.MIT
- Extract and process web content from URLs for data collection, content analysis, and research tasks, supporting multiple formats and extraction depths.MIT
- Extract and parse web content in markdown, HTML, or screenshot formats from any URL, with options to clean content and render JavaScript.MIT
- Extract structured data from web pages by defining a schema and providing a URL, using AI to process and organize information from online sources.MIT
- Capture web page screenshots with customizable viewport dimensions, image formats, and capture settings for documentation or analysis.MIT
- Convert a web page or HTML content into a PDF document. Returns the PDF as a base64-encoded string for direct use.MIT
- Analyze web page quality using Google's Lighthouse metrics to measure performance, accessibility, and SEO factors for optimization.Apache 2.0
- Extract structured data from web pages by supplying URLs and a prompt, with options for web search and retries.MIT
- Search Google and retrieve content from top results in a single call. Returns combined, deduplicated content with source attribution for efficient web research.MIT
- Get raw text content from a source using its ID. Returns original text from PDFs, web pages, or YouTube transcripts without AI processing.MIT
- 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 web using SearXNG, aggregating results from over 200 engines with privacy. Use categories to focus on specific content types or specify engines for precise sources.MIT