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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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    maintenance
    Enables creators to connect their social channels so AI assistants can read their published Instagram, TikTok, YouTube, LinkedIn and Threads history, including posts, metrics, transcripts, comments and audience data, then use bundled skills to plan next posts, research creators, maintain brand docs, manage product catalogues and find outreach targets.
    MIT
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    MCP server for AI-powered marketing intelligence and automation for the RU/CIS market, offering tools for media planning, benchmarks, competitor analysis, and funnel conversion.
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    Provides social intelligence tools for AI agents to analyze competitor sentiment, trends, and brand mentions from X/Twitter data.
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    Enables targeted company discovery, real-time DNS MX deliverability diagnostics, and clean web Markdown extraction for AI agents.
    MIT
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    Provides structured competitive intelligence profiles and listing capabilities through natural language prompts, enabling on-demand sales collateral from a single source of truth.
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    An MCP server that monitors 12 Australian SMB intelligence sources to analyze market signals and provide structured data for content strategy agents. It enables users to track regulatory changes, AI trends, and business data through automated signal grading and Slack integration.
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    Enables AI agents to manage OpenAI Ads campaigns, ad groups, creatives, custom audiences, conversion tracking via web pixel and CAPI, and run tracking audits through the OpenAI Ads Advertiser API.
    43
    53 npm
    MIT
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    Connects Claude Desktop to LinkedIn's data layer for AI-powered networking, enabling profile research, content creation and scheduling, engagement automation, analytics tracking, and messaging through natural language.
    85
    42
    MIT
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    Perplexity for social: ask what competitors are running across social and get answers grounded in real ad and creative data, not guesses.
    2
    Apache 2.0