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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.
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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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    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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    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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    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.
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    Apache 2.0
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    Connects NearIQ competitive intelligence to AI tools like Claude Desktop, Claude Code, Cursor, and Windsurf, enabling queries about competitors, reviews, rank tracking, and more.
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    MIT
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    Provides tools to interact with the HireBase Job API, enabling users to search for jobs using various criteria and retrieve detailed job information through natural language.
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    MIT
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    The Derrick MCP server provides AI assistants with access to Derrick's B2B enrichment capabilities. It allows retrieval of company and contact information, lead enrichment, prospecting automation, and workflow execution directly through the Model Context Protocol (MCP).
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    MIT
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    Enables interaction with the XEM Email API to send emails, manage campaigns, and organize contact lists. It supports features like HTML content, scheduling, template management, and bulk contact imports from CSV files.
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    MIT
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    Enables querying and analysis of Kakao Keyword Ads data, including campaigns, ad groups, keywords, and performance reports. Supports 21 read-only tools and 2 resources for accessing ad account information and metrics.
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    MIT
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    Provides read-only access to Google Search Console data, allowing AI assistants to query site performance metrics like keywords, clicks, and rankings using natural language. It supports listing verified properties, querying search analytics with dimension filters, and retrieving sitemap information.
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    MIT
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    Enables AI assistants to search for business leads using FlashLeads' web harvest capabilities. Provides access to company contact information including emails, phones, and social profiles through natural language queries.
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    MIT
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    Connects Google Search Console with Claude AI to enable SEO professionals to analyze their SEO data through natural language conversations, providing access to property information, search analytics, URL inspection, and sitemap management.
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    1,220
    MIT
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    Provides comprehensive access to LinkedIn data through HarvestAPI, enabling profile searches, company information retrieval, job searches, post interactions, and group discovery.
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    Enables programmatic management of Google Ads campaigns, allowing users to monitor performance metrics, update budgets, and toggle campaign statuses. It supports real-time analytics, top performer analysis, and reporting in CSV or JSON formats.
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    A TypeScript implementation of a Model Context Protocol server that provides marketing tools based on Open Strategy Partners' methodologies, enabling content creation, optimization, and product positioning through tools like value map generation, meta information creation, and content editing.
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    CC BY-SA 4.0
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    Connects AI coding assistants to AIVA's customer intelligence and Shopify store data for managing subscriptions, affiliate tracking, and customer analytics. It enables direct access to RFM segments, churn predictions, and product information through the Model Context Protocol.
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    4
    MIT
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    AI-native Experience Decisioning lifecycle automation for Adobe Journey Optimizer. End-to-end ExD setup from a single chat conversation: CSV → schema fields → offers → collections → eligibility rules → ranking → selection strategy → placements.
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    21