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    Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.
    12
    10 npm
    16
    Apache 2.0
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    Enables read-only access to Google Analytics 4 data through seventeen tools covering reports, realtime data, funnels, pivots, metadata, and admin lists. It runs locally with service account credentials and lets users query properties via standard MCP clients.
    17
    31 PyPI
    MIT
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    Track how your brand appears in AI-generated answers across ChatGPT, Perplexity, and other AI models. Analyze visibility, sentiment, citations, and domain rankings with 31 tools — including analytics reports, chat inspection, query analysis, and full CRUD for brands, prompts, tags, and topics.
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    73 npm
    2
    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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    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.
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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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    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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    221 npm
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    Apache 2.0
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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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    46 npm
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    MIT
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    Provides access to the LinkedIn Sales Navigator API without requiring browser cookies for authentication. It enables AI assistants to interact with sales data and various utility endpoints including TV Maze and deck of cards.
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    MIT
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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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    3 npm
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    MIT
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    MCP server that turns AI IDEs into a Feedico coupon agent, enabling natural language queries for live affiliate coupons and merchants across multiple languages.
    MIT
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    Connects AI assistants to Revelor e-shop analytics, search configuration, and recommendations, enabling both reading and optional writing for e-shop data.
    MIT
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    Enables agents and Claude Desktop to query a single canonical source for multifamily marketing metrics, with 22 tools for retrieving metric definitions and values from a synthetic portfolio database.
    MIT