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    MCP server that fetches remote or local HTML resources and converts them to Markdown, enabling AI clients to summarize or process web content.
    7 npm
    MIT
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    An MCP server that automates converting diverse content sources like WeChat articles, YouTube videos, and various document formats into AI-generated outputs such as podcasts and slide decks via Google NotebookLM. It integrates specialized tools for web scraping, OCR, and file transformation to facilitate seamless content generation through natural language.
    6,463
    MIT
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    Fetches a URL and returns the main content as clean Markdown, using plain HTTP when possible and headless Chromium for JavaScript-rendered or bot-protected pages.
    1
    20 PyPI
    MIT
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    Provides agent-friendly web search via MCP with zero-config free engines, region-aware failover, freshness filtering, and a one-call research tool that searches, fetches, and summarizes pages.
    3
    46 npm
    3
    MIT
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    Checks a website's robots.txt and Cloudflare settings to identify AI crawler blocking. Also generates llms.txt content to improve visibility to AI answer engines.
    3
    59 npm
    MIT
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    这是一个面向中文圈的MCP服务器,将中国互联网常用能力(如地图、快递、RSS、B站等)封装为标准MCP工具,方便AI Agent安全调用。
    13
    2
    MIT
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    Analyze and generate robots.txt files with AI crawler awareness. Fetch any site's robots.txt, detect which AI bots (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) are blocked or allowed, and generate optimized robots.txt with toggle controls for 20+ AI crawlers.
    5
    1
    MIT
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    Checks a site for AI crawlers: which of 11 AI crawlers its robots.txt lets in, whether its llms.txt follows llmstxt.org, and what its home page says without scripts. Findings with evidence; no scores, no model calls, no telemetry.
    5
    79 npm
    MIT
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    Enables AI assistants to check how discoverable a website is to AI search engines and assistants by inspecting signals like crawler access, llms.txt, structured data, and on-page metadata, and returning a 0-100 visibility score.
    1
    MIT
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    Enables AI agents to fetch one or many web pages concurrently and receive clean, LLM-ready Markdown with navigation, ads and boilerplate stripped away, plus extracted metadata such as title, description, author, Open Graph tags and canonical URL. It runs locally over stdio with no API key or account, requiring only a single command.
    3
    MIT
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    Enables AI agents to drive a persistent Chrome session that stays signed in to your own Google account, with tools for navigation, snapshots, clicking, typing, keystrokes, screenshots, JavaScript evaluation, and lifecycle or re-login control. It also exports every row behind a Looker Studio report to CSV and checks whether the session is still healthy.
    14
    MIT
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    An MCP server that provides browser automation capabilities, enabling LLMs to control a web browser for navigation, interaction, and data extraction.
    32
    120 npm
    14
    MIT
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    Enables AI agents to drive a Camoufox (Firefox-based) browser over MCP stdio or HTTP/REST, with persistent profiles, structured extraction, file upload/download, secret-filled logins, reusable scheduled flows, and a human-in-the-loop live view.
    26
    700 npm
    MIT
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    Enables converting Markdown and HTML tables into structured JSON records with automatic column type inference and format normalization. It also offers supporting web-agent primitives such as DOM semantic pruning, form field auto-mapping, and execution trajectory evaluation, all via a zero-dependency MCP server.
    7
    MIT