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    Giggal.ai is an email verification tool that runs a deep mailbox existence check on every address and verifies catch-all/accept-all and even SEG protected emails. Your bounce rate stays under 5%, and the 30% of every B2B list that other tools flag as "Risky" becomes deliverable again.
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    MIT
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    A website audit MCP server that provides free tools to check on-page SEO elements like titles, descriptions, and images across up to 20 pages, and also validates robots.txt, sitemap.xml, and llms.txt accessibility.
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    MIT
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    Transforms raw Google Search Console signals into actionable marketing insights, such as detecting cannibalization, segmenting search intent, and identifying citation opportunities, for any MCP-compliant AI agent.
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    456 PyPI
    38
    MIT
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    Dynamic QR code platform for AI agents. Create, customize, and track QR codes without regenerating images. 37 tools covering 11 QR types (URL, vCard, WiFi, event…).
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    MIT
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    An MCP server that generates high-quality blog cover images using Google Gemini AI and automatically uploads them to Qiniu Cloud storage. It provides automated WebP conversion and compression to deliver optimized CDN URLs for generated images.
    3
    9 npm
    MIT
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    Read-only MCP server that connects Claude Desktop to the publisher-side Ad Manager API so users can browse networks, saved reports, orders, and line items, and run saved reports to pull their rows into a conversation. No tool mutates data, and per-user OAuth ensures each person inherits only their existing account permissions.
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    Combines Bing Webmaster data, GA4 AI-traffic opportunity matching, technical SEO scanning, AI-search content audits, approval-gated WordPress fix preparation, live verification, Bing URL submission, and IndexNow integration to help marketers improve pages for human readers and AI search.
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    17 npm
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    Enables MCP clients to manage X/Twitter advertising campaigns, ad groups, audiences, pixels, and creative assets via the Ads API v12, with safety defaults like paused writes and explicit confirmations for spend and deletions.
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    MIT
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    This project is a Google Analytics 4 (GA4) automation server implemented as a Model Context Protocol (MCP) tool. It lets AI agents query GA4 data (reports, traffic sources, demographics, etc.) and also includes a simple connection test script.
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    Enables an AI assistant to list and fetch ad campaign data from a REST API, with error handling for missing records or unreachable services.
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    GEO (Generative Engine Optimisation). This tool shows you exactly how AI search engines see your content - claim density, writing quality, E-E-A-T signals, extractability. Research-backed metrics that correlate with 40% higher AI citation rates.
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    50 npm
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    MIT