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    Enables AI agents to measure Chinese, Japanese and Korean page titles by rendered pixel width and judge whether they fit Google's search result column, flagging titles that would be truncated or cut near the edge. It also reads tags from local HTML files or directories and applies the same width, boilerplate and keyword-zone checks.
    2
    428 npm
    MIT
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    Enables users to check Google organic, map pack, and local finder positions for keywords across specified locations, returning per keyword/location rows with ratings, competitors, and rank changes. It runs searches from each location via Apify and can track history with a state key.
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    70 npm
    MIT
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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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    Competitive intelligence platform with 24 tools. Monitor competitor pricing, content, positioning, tech stacks, and AI visibility — track how ChatGPT, Claude, and Gemini rank your brand.
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    42 local SEO tools for AI assistants. SERP tracking, Google Business Profile data, review monitoring, keyword research, AI visibility scoring, geogrid rank scans, citation audits, and competitive analysis.
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    42 npm
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    MIT
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    Enables MCP-capable agents to fetch public pages, extract business signals and FAQ content, score a local business's web presence from 0-10, and generate a sales-ready audit with ranked gaps and a recommended offer.
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    MIT
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    MCP server for self-hosted Listmonk newsletters: manage subscribers, lists, campaigns, templates (including from local files), media and transactional email. File access is sandboxed to a configured directory.
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    295 npm
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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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    103 npm
    MIT
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    Connects AI systems to Local Falcon API, enabling access to local SEO reporting tools including scan reports, trend analysis, keyword tracking, and competitor data through the Model Context Protocol.
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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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    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.
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    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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    Enables searching Google Local for businesses by keyword and location, returning details like name, address, phone, hours, ratings, and more. Useful for lead generation, local SEO, and market analysis.
    MIT
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    Designed to enable MCP clients to list accessible customers and work with conversion actions through the Google Ads API.
    24 npm
    Apache 2.0
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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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    Connects AI agents to pull SERP rankings, site audit issues, AI Tracker visibility, geogrid scans, and review data from a Local Dominator account.
    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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    Enables AI agents to analyze text metrics in one call, including word count, characters, sentences, paragraphs, and estimated reading time, with pay-per-call micropayments via x402.
    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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    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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    93 npm
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