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"How to describe web content using a URL" 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.
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    165
    MIT
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    Enables AI agents to manage bookmarks (webpages, articles, videos) on behalf of users, including registration, categorization, tagging, and sharing.
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    MIT
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    A web-fetch MCP server for LLM agents that fetches pages with an escalation ladder through different engines, raising FetchBlocked instead of returning blocked content.
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    1
    Apache 2.0
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    Converts AI Skills (following Claude Skills format) into MCP server resources, enabling LLM applications to discover, access, and utilize self-contained skill directories through the Model Context Protocol. Provides tools to list available skills, retrieve skill details and content, and read supporting files with security protections.
    Last updated
    3
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    Apache 2.0
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    Enables web search and web fetch operations using Ollama's hosted APIs, allowing MCP clients to search the web and retrieve page content.
    Last updated
    2
    MIT
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    Provides LLMs with real-time web search and content extraction capabilities, including text/news search, full-text URL reading, and targeted technical documentation search.
    Last updated
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    MIT
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    Enables reading Slack channels, messages, and threads using the web interface via a persistent browser session, designed for guest users without API access. Does not send messages.
    Last updated
    5
    MIT
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    MCP server for web page fetching (converting to Markdown/text with automatic fallback between Tavily and Firecrawl) and web search via Tavily.
    Last updated
    2
    MIT
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    Provides DuckDuckGo web search and site fetching tools for Claude Desktop, enabling up to 10 search results and text content extraction from URLs.
    Last updated
    2
    MIT
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    A reconnaissance MCP server that discovers web data sources by monitoring network requests and extracting API structures, enabling AI to understand data location and format without full crawling.
    Last updated
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    2
    MIT
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    Enables detection of AI-generated content from ChatGPT, GPT-4, and Gemini models through the BACH AI Content Detector API.
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    MIT