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521,841 tools. Updated 2026-09-06 12:28

"Using LLMs for Retrieving and Processing Web Content" matching MCP tools:

  • Fetch raw text directly from NotebookLM sources like PDFs, web pages, pasted text, or YouTube transcripts. Returns original indexed content without AI processing, ideal for quick export.
    MIT
  • Perform web searches using DuckDuckGo to gather diverse information, news, articles, and online content with support for filtering, region-specific results, and SafeSearch controls.
    MIT
  • Perform web searches to gather real-time information, news, and detailed content analysis with customizable parameters for results, domains, and timeframes.
    MIT
  • Extract the clean main content of any web page by rendering with real Chromium to handle JavaScript, then stripping ads and boilerplate. Returns Markdown, text, or HTML for use in LLMs and RAG.
    MIT
  • Convert web pages to clean markdown format by extracting content, removing unnecessary elements, and ranking information for RAG applications.
    MIT

Matching MCP Servers

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    An MCP server that gives AI agents direct access to VMware vSphere infrastructure, enabling VM lifecycle management, snapshots, datastore operations, networking, and more via 55 typed tools built on govc.
    25
    MIT
  • A
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    A
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    Enables AI agents to extract clean, structured web content (articles, tables, links, visual layouts) optimized for LLM token efficiency, with fast response times and optional JavaScript support.
    5
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    MIT

Matching MCP Connectors

  • Retrieve raw text content from any source in NotebookLM, including PDFs, web pages, pasted text, or YouTube transcripts, for quick content export without AI processing.
    MIT
  • Perform web searches using the Brave Search API to gather diverse online content, news, or articles. Supports pagination, content filtering, and freshness controls for precise results.
    MIT
  • Download and save web content to a local file for permanent storage and future access, enabling easy retrieval and processing of online data.
    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
  • Perform comprehensive web searches to extract and consolidate full content from top results using advanced content extraction for thorough research.
    MIT
  • Scrape URLs into Markdown, text, or structured data for LLM processing. Retrieves article content via Mozilla Readability, OG metadata, links, and images while blocking ads and HTML noise.
    MIT
  • Extract clean text content from web URLs to retrieve article titles, excerpts, and main content for analysis or processing.
    MIT
  • Search the web for real-time information with customizable parameters for result count, content type, and domain filtering. Gather current news and detailed web content analysis using Tavily's AI search engine.
    MIT
  • Search the web for general queries, news, articles, and online content using Brave Search API. Gather broad information, find recent events, and access diverse web sources with pagination and filtering options.
    MIT