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    MCP server for AI agents -- fetch any URL with full JavaScript rendering (Playwright/Chromium) and convert to clean, token-efficient markdown. Works on React, Vue, Angular, and any JS-heavy page. Includes web search, batch fetching, binary file download, LRU cache, SSRF protection, and structured output.
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    24
    MIT
  • A
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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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    12
    MIT
  • A
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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
  • A
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    Classic SEO suites charge heavily for link indexes. This MCP gives individuals and agencies a free, automatable path to: surface pages that mention a brand (linked or not), narrow guest-post and resource-page angles, see who links to competitors, verify whether a page links to you, and pull contact signals for outreach—all orchestrated by Claude or Cursor through typed tools instead of brittle cop
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    MIT
  • F
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    Converts WeChat Official Account articles to clean Markdown with locally downloaded images, supporting single and batch operations via MCP tools.
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    92
  • A
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    Amenbo is a Japanese-web-native MCP server for low-impact, token-efficient web collection, enabling agents to fetch, outline, and screenshot web pages while respecting robots.txt and optimizing for Japanese sites.
    Last updated
    3
    532
    MIT
  • A
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    One MCP endpoint, 43 tools for iOS-simulator E2E — native UI automation, Maestro flows, trustworthy oracle-ladder assertions, WebView DOM + network (JSON/HAR), and React Native debugging (Metro logs/network/state). macOS + Xcode.
    Last updated
    43
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    MIT
  • A
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    A powerful web scraping MCP server built on Scrapy and FastMCP that supports multiple scraping methods (HTTP, Scrapy, browser automation), anti-detection techniques, form handling, and concurrent crawling. Designed for commercial environments with enterprise-grade features like intelligent retry mechanisms, performance monitoring, and configurable data extraction.
    Last updated
    10
    3
    MIT
  • F
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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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  • A
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    MCP server that lets AI agents route web requests through NodeMaven residential and mobile proxies, with tools for geo-targeted fetching, proxy checking, and location/usage queries.
    Last updated
    5
    MIT