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    An MCP (Model Context Protocol) server that gives AI agents live, structured ad intelligence across Facebook, Google, and Instagram — data that no base model can produce from training alone. Powered by Apify actors. Works with any MCP-compatible client: Cursor, Claude, etc.
    11
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    Enables connecting to Shopify and Meta Ads through MCP tools to retrieve orders, revenue, COGS, and ad-performance metrics, and to generate a combined daily P&L and ad-performance spreadsheet.
    2
    MIT
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    Enables full read/write management of Facebook ad campaigns, ad sets, ads, and creatives via the Meta Marketing API through natural language, with AI creative generation, performance analytics, and PDF reporting.
    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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    Enables automated LinkedIn lead generation and outreach through profile search, AI-powered lead scoring, personalized message generation, and automated follow-up sequences. Includes API key management with tier-based usage limits and PostgreSQL-backed tracking.
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    An MCP server that detects affiliate links and provides information about Tracklix, enabling AI assistants to answer affiliate-link-related questions without any network calls or API keys.
    2
    26 npm
    MIT
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    Provides AI assistants with structured, read-only information about Noto CRM, including pricing, features, AI agent capabilities, competitor comparisons, and use cases, with bilingual French/English responses and no external dependencies.
    15
    35 npm
    MIT
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    Enables natural language queries about the technologies behind websites and the companies running them, using the StackScan Tech Lookup API. Includes tools for domain technology lookup, company details, technology usage stats, and batch company lookups.
    6
    79 npm
    1
    MIT
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    MCP server that answers questions about creator marketing, influencer pricing, and app growth using a curated corpus of operator quotes with links, and explicitly flags when evidence is thin or absent.
    3
    MIT
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    Enables natural language queries to Yandex Metrika analytics, allowing users to ask questions about traffic, sources, and user behavior without dashboards or SQL.
    2
    1
    MIT
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    Checks username availability and retrieves account information across major social media platforms including YouTube, TikTok, Threads, X (Twitter), and Instagram, perfect for brand name qualification and competitive research.
    42
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    3 npm
    MIT
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    Enables AI agents to perform comprehensive person and company lookups by integrating directly with the Lusha API for business contact enrichment. It provides tools for bulk contact identification via LinkedIn URLs, emails, or names, alongside detailed company information retrieval.
    8
    48 npm
    6
    Apache 2.0
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    Enables querying Google Search Console, GA4, and IndexNow data via natural language, allowing users to ask about site rankings, clicks, indexing status, and conversions.
    13
    1
    MIT