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    Enables MCP clients to pull complete Google Search Console performance data by paginating past the API's 25,000-row cap, with large results written to CSV or JSON files and only a preview returned inline. Every response includes a coverage block comparing row sums to property totals, so the model can see how much of the picture the data actually represents before making recommendations.
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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.
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    328 npm
    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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    9 npm
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    MIT
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    LLM Optimizer is an AI visibility intelligence platform. It analyzes how large language models and AI search engines perceive, cite, and recommend brands; then provides research-backed optimization strategies to improve that visibility.
    10
    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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    Connects MCP clients to ThriveStack AI Visibility data, enabling users to see how AI search engines mention and cite their brand, compare with competitors, and decide what to publish next.
    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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    Enables AI agents to browse and query Facebook Ads data including ad accounts, campaigns, ad sets, and performance insights via natural language.
    457 npm
    MIT
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    Enables reading campaign, segment, and message-delivery data from the Customer.io Journeys App API, including campaign metrics, audience segments, and recipient-level message outcomes.
    292 npm
    MIT
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    Enables AI assistants to browse, inspect, and call the Cakemail API via dynamically loaded OpenAPI spec.
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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.
    MIT
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    Enables tracking AI search visibility by showing how ChatGPT, Gemini, Google AI Mode, and Google AI Overviews answer your tracked questions, whether they mention your brand, how you compare with competitors, and which sources they cite.
    MIT
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    Analyse what works → make Reels and carousels → publish or queue them → review how they did. All from a chat with Claude.
    37 PyPI
    MIT
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    Make AIs recommend your business. Measures how AI assistants answer the questions your market asks, which sources they cite, and gives the levers to shape those answers. 43 tools on a hosted Streamable HTTP endpoint at https://mcp.epovest.com/mcp
    MIT
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    Enables analyzing a corpus of AI answers or competitor content to surface recurring character-level phrases, which brands and domains occupy those answers, and how homogenized the answer space has become. Exposes an analysis tool, a self-check that validates the measurement against control corpora, and a method/limits explainer, all read-only and working from JSON sample records.
    MIT
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    Enables AI agents to browse the Lumind service catalogue, check budgets, launch GEO/SEO scans, and retrieve reports with autonomous but capped spending.
    MIT
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    Tracks buying and momentum signals for companies, such as funding rounds, senior hires, office openings, customer wins, and partnerships, with each event carrying its date.
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    14 npm
    MIT
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    Enables AI listing assistants to validate marketplace draft listings against seller-provided item specifics, returning PUBLISH or REVIEW with the exact words behind every unbacked claim.
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    MIT
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    Enables AI agents to check a list of websites by running an Apify Actor through one tool, returning per-site tech stack, on-page SEO issues and score, robots.txt rules for AI crawlers, sitemap, llms.txt presence, and an AI-readiness score. Supports local stdio operation with an Apify token for tool calls.
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    MIT
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    Live Google search for AI agents: organic results with positions by country, language and device, plus People also ask questions and related searches; a domain's current rank for a keyword; the open markets with their default languages. Every search is fresh, usually 2–3 seconds per page. New accounts get 100 free searches.
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    Provides TikTok trend data to AI assistants, including hashtag volume, growth rates, and top trending topics for early trend detection.
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    MIT
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    Enables any MCP-capable agent to generate App Store and Google Play store screenshots from screen layout JSON plus local image file paths, returning a job ID for async polling or a direct download link. It also exposes render status polling with signed download URLs and per-response quota, balance, and cost metadata.
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    347 npm
    MIT
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    Enables keyword analysis and search volume data through the Marketing Miner API, connecting marketing intelligence tools to AI assistants like Cursor, Claude, and Windsurf.
    5
    MIT
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    Connects AI assistants to Beamtrace's remote MCP for read-only visibility insights, offering tools to retrieve visibility scores, topic rollups, prompt metrics, competitor leaderboards, and content improvement suggestions.
    5
    MIT
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    Post to LinkedIn from Claude — create posts, upload images, edit/delete posts, and manage company pages via natural language. Uses the official LinkedIn REST API with OAuth 2.0.
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    109 npm
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    MIT