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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 searching and analyzing LinkedIn's public ad library for any company, including ad creatives, targeting, and competitive insights. Supports image and video analysis, company comparisons, and detailed ad lookups via natural language.
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    MIT
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    A powerful MCP server for Facebook Ads Library that provides 15+ tools for competitive intelligence, creative analysis, and performance prediction, enabling users to search, monitor, and analyze advertising data.
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    MIT
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    A comprehensive B2B intelligence server providing over 48 tools for lead generation, company research, and sales automation via the Model Context Protocol. It enables AI-powered prospect discovery, enrichment, and competitive analysis through seamless integrations with Make.com, Claude Desktop, and Apify.
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    MIT
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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.
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    MIT
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    Enables AI assistants to publish, schedule, and manage social media posts across X (Twitter), Instagram, and Threads through the Sociona API. Supports immediate posting, scheduling, analytics, and account management with natural language commands.
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    MIT
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    Exposes studio profile and contact information for Symbols of Wealth Studio, enabling AI assistants to answer queries about creative studios in France, AI-powered content production, and premium brand content services.
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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.
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    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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    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.
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    MIT
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    Downloads your entire Search Console dataset into a local SQLite database, then gives your LLM a pre-built SQL query library for every standard SEO analysis type, with context available for your LLM to perform any SQL query to answer your questions and analyse for you.
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    Apache 2.0