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204,009 tools. Last updated 2026-06-14 22:14

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

Matching MCP Servers

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    Extract content from URLs, documents, videos, and audio files using intelligent auto-engine selection. Supports web pages, PDFs, Word docs, YouTube transcripts, and more with structured JSON responses.
    Last updated
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    158
    MIT
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    An MCP server that exposes the llms.txt file and its referenced local or external resources from a project root to provide context for AI models. It automatically parses documentation links and URLs to make them accessible as additional MCP resources.
    Last updated
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    MIT

Matching MCP Connectors

  • Image processing for AI agents. Resize, convert, compress, and pipeline images.

  • Create, edit, preview, publish, and manage web pages from MCP-capable AI clients.

  • Perform comprehensive web searches to extract and consolidate full content from top results using advanced content extraction for thorough research.
    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
  • Extract clean text content from web URLs to retrieve article titles, excerpts, and main content for analysis or processing.
    MIT
  • Perform web searches to gather current information and analyze web content with customizable parameters for result filtering and content types.
    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
  • Search the web for real-time information and news using customizable filters for content type, domains, and time ranges to gather relevant results.
    MIT
  • Extract images from web URLs for visual content analysis and text extraction. Convert images to base64 format suitable for LLM processing.
    Apache 2.0
  • Extract full text content, metadata, and structured information from specific web URLs for detailed content analysis and data retrieval.
  • Search the web for current information and news using customizable parameters like time range, domain filtering, and result count to gather relevant web content.
    MIT