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    Search 47,000+ marketing agencies and get AI-matched with fitted agencies, from Pick an Agency.
    3
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    MIT
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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.
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    MIT
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    A suite of MCP servers that give AI agents read-only access to Chinese e-commerce platform business data, including advertising, orders, products, and more from platforms like Douyin, JD.com, Taobao, etc.
    22
    62 PyPI
    78
    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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    Find out how AI assistants and search engines talk about your brand. Ask how often ChatGPT, Perplexity and Google's AI answers mention you, where you rank, how positive those mentions are, which sites they cite, and how you compare with competitors. Your assistant can also set up and adjust the monitoring for you, showing a preview and asking before anything that deletes data or uses up your plan.
    61
    67 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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    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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    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.
    1
    170 npm
    12
    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.
    2
    269 npm
    21
    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.
    12
    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.
    6
    11 npm
    6
    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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    Analyze paid marketing accounts (Google Ads, Meta Ads, GA4, Merchant Center) in plain language, read-only. Provides insights, competitor ads, and landing page audits via natural language.
    2
    MIT
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    A full social media management MCP server enabling post, read, schedule, and analyze across Facebook, Instagram, LinkedIn, X/Twitter, Pinterest, and YouTube from any MCP-compatible AI client.
    MIT
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    Lets an AI assistant check any URL to see how much of a page's main content is present in the raw HTML versus only after JavaScript runs, showing which text blocks, meta fields, canonical tags, JSON-LD and links AI crawlers like GPTBot and ClaudeBot cannot read. It also reports what robots.txt allows for 22 AI bot tokens and how the site responds to each bot's user-agent.
    AGPL 3.0
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    MCP server and Claude skills for AI agents to build landing pages, run A/B experiments, and track first-party conversions. Lets agents onboard clients, create and publish pages, manage variants, and pull performance reports via the UXON API.
    13
    MIT