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    Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
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    14 npm
    19
    Apache 2.0
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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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    Enables exploring and analyzing US Data Analyst job postings, offering job search, salary benchmarking, and skill-demand insights through MCP tools, resources, and a career gap review prompt.
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    Provides AI assistants with market screening, analysis, and scoring across stocks, crypto, and forex, enabling natural language queries for trading insights.
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    44 PyPI
    MIT
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    Enables AI assistants to query distilled SEO expert tactics from public content, returning actionable insights linked to original source videos.
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    MIT
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    Enables listing, reading, and searching daily AI news from AI Daily Insights with structured tools and no API key required.
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    78 npm
    MIT
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    Enables searching arXiv and top AI conferences, finding related papers, generating research insights, and managing a personal library via MCP tools.
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    23 npm
    MIT
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    Enables AI assistants to access TikTok organic analytics including video performance, engagement metrics, and profile insights via the TikTok Developer API.
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    19 npm
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    MIT
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    Transforms raw Google Search Console signals into actionable marketing insights, such as detecting cannibalization, segmenting search intent, and identifying citation opportunities, for any MCP-compliant AI agent.
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    258 PyPI
    40
    MIT
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    Enables searching and fetching Tempo.co articles, generating extractive research briefs, and comparing multiple articles for repeated entities, claims, and timeline signals. Optionally supports authenticated fetching for subscriber-only content.
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    Enables comprehensive analysis of CSV files and SQLite databases through tools for statistics, correlations, anomaly detection, pivot tables, time series analysis, visualization, and automated insights discovery.
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    Enables AI assistants to run live Semrush SEO analysis—keyword research, domain analytics, backlink analysis, competitor intelligence, and traffic insights—through natural language MCP tools.
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    MIT