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"Information about Malware in Ads, Domains, and Landing Pages" matching MCP servers:

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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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    MCP server for managing ad campaigns across Google Ads, Meta, and more. Enables deploying campaigns, checking performance, and managing budgets from terminal or AI assistants.
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    MIT
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    Unified MCP server for managing Meta Ads, LinkedIn Ads, Google Ads, GA4, and Search Console with 89 read/write tools, multi-account support, OAuth setup, and safe dry-run mutations.
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    MIT
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    Enables AI assistants to create, analyze, and optimize ad campaigns across Google Ads, Meta Ads, TikTok Ads, LinkedIn Ads, Amazon Ads, and ChatGPT Ads through natural language using 400+ tools.
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    Read-only MCP server for analyzing VK Ads campaigns, listing ad structures, retrieving statistics, and generating optimization recommendations.
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    Meta Ads MCP by ScaleForge — a Model Context Protocol server that exposes Meta (Facebook/Instagram) Ads management directly through the Graph API v24.0
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    Enables natural language querying of Amazon Advertising data including Sponsored Products, Brands, Display, DSP reports, and AMC SQL workflows, with live data from the Amazon Ads API.
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    MIT
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    x402 Ads lets AI agents buy and verify ad placements with per-request USDC payments. Agents can discover inventory, submit campaign context, receive structured placement options, and pay through x402 without API keys or accounts. Built for autonomous promotion, attribution, and pay-per-action agent commerce.
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    A Model Context Protocol server for the Meta (Facebook) Ads API, providing 54 tools to manage ad accounts, campaigns, ad sets, ads, creatives, media, insights, targeting, and more via the Meta Graph API.
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    An MCP server for the OpenAI Ads (ChatGPT Ads) Advertiser API, providing tools for agent-led performance marketing such as finding dead ads, auditing near-duplicate copy, and auditing ad-group context hints.
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    MIT
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    MCP server for Google Ads API — 22 tools for campaigns, keywords, RSAs, assets, audiences, geo/device performance, impression share, auction insights, and budget pacing. Community edition with B2B/agency-focused tooling beyond the official Google MCP.
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    Enables managing Google Ads campaigns through an AI assistant with read-only reporting, recommendations, and gated write operations for bids, budgets, and statuses, all backed by preview and audit logging.
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    MIT