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"MCP Server Fetch - A server for fetching web content and URLs" matching MCP servers:

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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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    Apache 2.0
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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.
    2
    MIT
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    A fault-tolerant, stealth-enabled Model Context Protocol (MCP) server for web searching and content fetching. Built for AI Agents (Cursor, Claude Code, OpenCode), it uses a stealth browser engine to fetch pages, dynamically handles SPAs/React, and converts bloat into token-optimized Markdown.
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    MIT
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    Enables LLMs to fetch and extract web content using browser automation, OCR, and multiple extraction methods, handling JavaScript rendering and anti-scraping techniques.
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    MIT
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    Reduces token consumption by 73-87% by cleaning web and API data before it reaches the LLM context window. Supports fetching URLs, searching the web, optimizing JSON, and more.
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    Enables fetching and processing web content by retrieving URLs and converting HTML to markdown format. Supports chunked reading of webpages and both local (stdio) and HTTP transport modes with optional authentication.
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    MIT
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    Enables LLMs to retrieve and process web content by fetching URLs and converting HTML to markdown format. Supports chunked reading of large pages and can access both public websites and local networks.
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    MIT
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    Fetches web pages and converts them to markdown for LLM consumption, supporting chunked reading and raw content extraction.
    MIT
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    A specialized Model Context Protocol server that enhances AI-assisted medical learning by connecting Claude Desktop to PubMed, NCBI Bookshelf, and user documents for searching, retrieving, and analyzing medical education content.
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    MIT
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    Fetch URLs and return clean, LLM-ready markdown with metadata and layered prompt injection defense. Configurable timeouts, word limits, JS rendering, and link extraction. All-in-one MCP server + CLI.
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    MIT
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    A Model Context Protocol server that enables LLMs to retrieve web content and save it to local files for permanent storage and later access.
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    MIT
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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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    MIT