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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
    11
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    Provides live wait times and office details for all 60 Oregon DMV field offices by scraping the ODOT website, with no authentication required.
    20
    MIT
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    Provides Claude plan usage data (session and weekly percentages) as an MCP tool by reading through a logged-in browser, enabling Claude to check its own remaining usage.
    MIT
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    Extracts people (names and titles) from a company's team, leadership, or about page given a domain. Uses Apify to crawl and return structured data, with optional filters for seniority and email inclusion.
    1
    0
    MIT
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    Context-efficient MCP server for AI agents. fetch_extract reduces token usage by a median 98.1% (53,820 → 2,001 tokens) vs raw HTML — saves ~$0.156/call at Sonnet pricing. Pay $0.02 USDC on Base via x402. First call free per wallet. 10 always-free utility tools included.
    33
    1
    MIT
  • A
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    A token-efficient MCP server for Chrome DevTools Protocol that provides smart snapshots, diffing, and screenshot-to-disk tools, reducing token usage dramatically compared to official snapshots.
    8
    1,087
    Apache 2.0
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    Enables AI agents to browse and extract content from JavaScript-rendered web pages via the Model Context Protocol, returning plain text, HTML, or Markdown.
    1
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    MIT
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    MCP server that exposes Scrapingdog APIs for web scraping, search engine queries, social media profiles/posts, screenshots, and datacenter proxy usage via nine tools.
    9
    33
    1
    MIT
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    Enables AI agents to perform instant SEO, performance, and security audits of any website through the Model Context Protocol. It provides comprehensive analysis without requiring API keys or configuration.
    11
    5
    MIT
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    Unofficial MCP server wrapping crawl4ai that enables extraction and analysis of content from web pages, PDFs, Office documents, YouTube videos, and more, with AI-powered summarization and Google search integration to reduce token usage while preserving key information.
    19
    47
    MIT
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    Load and parse webpages using natural language queries to extract structured data. Manage browser sessions for interactive automation and retrieve usage metrics.
    4
    29
    MIT
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    Enables web content extraction, screenshot capture, web search, arXiv paper search, and image search through Jina AI's APIs. Provides tools for reading URLs as markdown, searching the web for current information, and finding academic papers or images.
    19
    808
    Apache 2.0