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    Vendor-agnostic MCP server that audits, scores, and rewrites web pages for AI-citation eligibility. No API keys. No registration. Works in Claude Desktop, Cursor, Cline, Windsurf, VS Code (Copilot / Continue), and any client that speaks the Model Context Protocol.
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    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.
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    MIT
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    Lets AI agents launch scans, inspect results, manage campaigns and policies, and read alerts directly against your Kaminari Ad workspace via your API key, with 82 tools covering most of the API surface.
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    MCP server that enables natural-language interaction with the Avito Ads advertising API, including campaign, ad group, and creative management, statistics retrieval, fund transfers, and ORD paperwork filing.
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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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    An MCP server for converting App Store Optimization (ASO) data from platforms like App Store Connect into Web SEO data. It enables the creation of synced websites, keyword research, and automated blog content generation based on app store metadata.
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    Enables AI assistants to manage Meta Ads (Facebook, Instagram) end-to-end through natural conversation, including launching campaigns, uploading creatives, updating budgets, and analyzing performance.
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    Business Source 1.1
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    A Model Context Protocol server that allows AI models to access, analyze, and manage Meta advertising campaigns, enabling LLMs to retrieve performance data, visualize ad creatives, and provide strategic insights for Facebook and Instagram platforms.
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    Enables AI assistants to manage Google Ad Manager campaigns, line items, creatives, and advertisers through natural language, automating ad operations that normally require countless clicks through the UI.
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    MIT