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    An MCP server for reading Twitter/X engagement data and metrics, enabling AI agents to measure tweet performance, track mentions, analyze replies, and search tweets with engagement metrics.
    4
    4
    MIT
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    Read-only MCP server that retrieves SEO analytics data from WordPress, Google Search Console, and Google Analytics 4, enabling users to fetch posts, search performance, page metrics, and more via natural language.
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    agentcentral is a hosted MCP server for Amazon sellers that connects Claude, ChatGPT, and other AI clients to Amazon Ads, Seller Central, inventory, orders, catalog, rankings, finance, and fulfillment data. It provides fast reads from pre-materialized Amazon data, scoped API keys, OAuth-based Amazon connections, encrypted tokens, per-tenant isolation, and guarded write tools with audit log
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    MIT
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    A Model Context Protocol (MCP) server for Microsoft Advertising (Bing Ads / DuckDuckGo Ads). This server enables AI assistants to create, manage, and report on Microsoft Advertising campaigns programmatically.
    2
    MIT
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    An MCP server that provides AI assistants with access to the FirstPromoter affiliate management platform for managing referrals, promoters, campaigns, and commissions. It is designed for remote multi-user deployment and supports operations via HTTP/SSE transport.
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    Local-first MCP server using LinkedIn's official OAuth and REST APIs to connect a member account, read profile, and publish text posts.
    4
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    MIT
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    A read-only MCP server for querying Google Ads data using GAQL, enabling AI assistants to safely read campaign performance, ad groups, and keywords.
    12
    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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    Advanced content gap analysis using Query Decomposition and Keyword Fan-Out (Google's patented methodology). Tells you exactly what user queries your content covers - and what it misses. Built on academic research because I needed to understand how AI search engines actually evaluate content.
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    Apache 2.0
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    A joke/demo Model Context Protocol server that injects cringe-worthy advertisements into LLM responses, showcasing both how to build MCP servers and the risks of ad-injecting intermediaries.
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    MIT
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    Public read-only MCP server for HiBot's AI-visibility knowledge: the ANSWER framework for measuring how AI answer engines surface, recommend, and represent brands, plus audit plans, case studies, and research. Hosted Streamable HTTP endpoint; the repo's Dockerfile bridges stdio via mcp-remote.
    MIT
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    A remote Model Context Protocol server developed by Inxy.ai that lets any AI agent — Claude, ChatGPT, Cursor, and others — audit a website or Shopify store for AEO / GEO / LLMO readiness: how likely ChatGPT, Claude, Perplexity, and Google AI are to cite it.
    MIT
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    Acts as a persistent log of ad creative reviews. Stores each review's ad name, funnel stage, score, media link, and full review text so agents can look back at how past creatives were scored.
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    Enables querying how often a brand is recommended by AI search and chat surfaces, returning recommendation and inclusion rates for any given brand.
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    This MCP server replicates how a creative strategist gathers context by expanding queries and performing hybrid search against a Google Drive knowledge base, delivering structured, role-categorized context for ad copy and creative briefs.
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    Provides AI-visibility scoring and site auditing capabilities for websites, enabling agents to check how sites appear in AI engines like ChatGPT and Perplexity, run full SEO/security audits, and monitor changes over time.
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    MIT