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    TypeScript implementation of an MCP server that provides tools for web crawling, content extraction, and browser automation, enabling AI systems to access and process web content through 15 specialized tools.
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    MIT
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    A Model Context Protocol server for web scraping and searching, with automatic fallback from Tavily to Firecrawl for fetching web content.
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    MIT
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    Enables searching torrents, fetching metadata, and downloading torrent files from c411.org. It provides tools for accessing torrent comments and detailed infoHash metadata while maintaining authenticated sessions.
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    A Model Context Protocol (MCP) server that provides tools for searching and fetching information from Hacker News.
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    MIT
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    An MCP server that enables searching for jobs across Australian platforms (Seek and LinkedIn) from Claude or any MCP-compatible client, with filters for location, salary, employment type, and more.
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    Integrates Firecrawl web scraping capabilities including scraping, crawling, searching, extracting structured data, deep research, and batch processing with support for both cloud and self-hosted instances.
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    MIT
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    Enables AI assistants to fetch, search, and organize menu information from For Five Coffee café. Provides access to complete menu data, category filtering, and item search capabilities through both MCP and REST API interfaces.
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    Automatically crawls documentation websites, converts them to organized markdown files, and generates condensed cheat sheets. Intelligently categorizes content into tools/APIs and provides local-first access to downloaded documentation.
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    GPL 3.0
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    Enables free web searching using Google search results with no API keys required, returning structured results with titles, URLs, and descriptions.
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    MIT
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    This is an MCP (Model Context Protocol) server that provides tools for searching and analyzing apps from both the Google Play Store and Apple App Store.
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    MIT
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    MCP server for searching Japanese train routes using Yahoo! Transit data, enabling station-to-station route planning with optional via stations, time specifications, and fare options.
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    MIT
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    A controllable multi-source search MCP server for AI agents. Enables searching multiple sources like Reddit, X, YouTube, and more, with control over sources, time window, and optional synthesis.
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    MIT
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    Enables AI assistants to connect to LinkedIn, accessing profiles and companies, searching for jobs and people, managing saved jobs, updating job-search profile settings, and inspecting analytics.
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    Apache 2.0
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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