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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
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    A collection of MCP servers for managing Proxmox, Linux, Windows, Docker, npm, and Python in a homelab environment.
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    MIT
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    An MCP server for the Google Ads API, providing 29 tools for campaign management, reporting, and optimization.
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    Enables management and provisioning of AWS resources like EC2, S3, and RDS using natural language prompts through the Model Context Protocol. It allows users to automate complex infrastructure tasks, such as setting up VPCs and security groups, via a chat interface.
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    MIT
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    Provides AI agents with a real browser environment for web automation, memory, and secure credential management through 15 MCP tools.
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    MIT
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    Provides LLMs with real-time, historical, and forecast Australian weather data via Open-Meteo, using plain-English location keys and fuzzy search.
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    7
    MIT
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    An MCP front-end for AnB. The tool surface is "use-don't-reveal": no tool returns a plaintext secret. Reveal paths require a TTY the server doesn't have, so the no-reveal guarantee is structural, not prompt-based — it holds even against a prompt-injected agent. Runs as a dedicated, narrowly-scoped AnB identity; exec is default-deny (only allowlist rules tagged scope=mcp run); command output
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    MIT
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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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    An MCP server for managing contextual data as markdown files with metadata, enabling agents to save, retrieve, search, and delete contexts using simple CRUD operations.
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    5
    Apache 2.0
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    Audits AI-bot visibility: robots.txt per-bot for 22 AI user-agents (GPTBot/ClaudeBot/PerplexityBot/etc), Cloudflare flags, JSON-LD, sitemap, llms.txt, SPA shell, plus cross-model brand mentions via Perplexity + OpenRouter. 0-100 score. SSRF-guarded, spend-capped.
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    MIT
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    Connects MCP clients directly to a live Godot editor, enabling AI assistants to build scenes, edit nodes, and control the editor through over 120 operations.
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    MIT