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"Analyzing Large Amounts of Text" matching MCP servers:

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    MCP server that converts URLs into token-minimized clean text for LLMs, providing a receipt of token and cost savings.
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    MIT
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    An MCP server for searching the Jurisprudencia de Buenos Aires (JUBA) database for legal summaries and full-text judicial rulings. It enables AI assistants to perform advanced searches across various legal matters from the Supreme Court of the Province of Buenos Aires.
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    MIT
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    An MCP server that provides web_search and web_fetch tools returning plain text via the tbro terminal browser to reduce token usage, with the trade-off of no JavaScript support.
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    MIT
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    A minimal MCP server that enables HTTP requests with any method, headers, and body types, supporting large responses through chunked transfers with disk-backed caching.
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    MIT
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    chrome-debug-mcp is an asynchronous Rust-based Model Context Protocol (MCP) server that allows AI agents and Large Language Models to natively debug Chromium-based browsers via the Chrome DevTools Protocol (CDP).
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    MIT
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    Enables reverse engineering of web applications and chat interfaces through browser automation, network traffic capture, and streaming API discovery. Provides comprehensive tools for analyzing network patterns, capturing streaming responses, and automating complex web interactions.
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    ISC
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    Enables monitoring web pages for changes using Playwright, storing snapshots in SQLite, and optionally analyzing changes with an LLM for business impact assessment.
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    MIT
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    An MCP server (stdio + HTTP/SSE) that fetches video transcripts/subtitles via yt-dlp, with pagination for large responses. Supports YouTube, Twitter/X, Instagram, TikTok, Twitch, Vimeo, Facebook, Bilibili, VK, Dailymotion. Whisper fallback — transcribes audio when subtitles are unavailable (local or OpenAI API). Works with Cursor and other MCP host
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    MIT
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    A text-first headless browser MCP server that extracts DOM and OCR text from web pages, offering a cheaper alternative to screenshot-based browsing by defaulting to zero image tokens.
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    MIT
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    Enables Claude Desktop to perform advanced web scraping and crawling operations, extracting structured data, analyzing website architectures, and discovering content relationships through natural conversation.
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    Context-aware web fetching for LLMs, providing 7 tools to check page size, fetch with truncation, extract code/sections/links/tables, and paginate large documents.
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    MIT
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    Enables web content scanning and analysis by fetching, analyzing, and extracting information from web pages using tools like page fetching, link extraction, site crawling, and more.
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    MIT
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    Provides tools to archive URLs, retrieve clean readable text from Wayback Machine snapshots, list snapshots, search Internet Archive items, and compare snapshots, designed to avoid context window blowup by returning stripped text.
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    MIT
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    Enables efficient extraction of specific data from JSON APIs using JSONPath patterns, reducing token usage by up to 99% compared to fetching entire responses. Supports single and batch operations for both JSON extraction and raw text retrieval from URLs.
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