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    Provides secure filesystem access for AI models through the Model Context Protocol with strict path validation, file operations, directory management, and system command execution within predefined directories.
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    MIT
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    An MCP server for RollDev and Magento 2 development environments that enables LLMs to manage project environments, execute SQL queries, and run PHP or Magento CLI commands. It supports automated project initialization, Composer integration, and system service control directly through natural language.
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    MIT
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    Open-source MCP server for managing Hetzner Cloud infrastructure with two management layers: * Layer 1 — Hetzner Cloud API (35 tools): Server power control, metrics, snapshots, backups, firewalls, DNS zones and records, rescue mode, server rebuild and rescale. Works even when the server OS is unresponsive. * Layer 2 — SSH (25 tools): Service management (systemd), Nginx config and reload,
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    MIT
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    Enables AI agents to manage and interact with Kasm Workspaces containerized desktop infrastructure, providing tools for session management, command execution, file operations, and user management via the Model Context Protocol.
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    MIT
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    Transform your local machine into a powerful code command center. Automate file handling, run terminal commands, and leverage AI to enhance your development workflows—all securely and instantly, without cloud latency.
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    MIT
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    Empowers AI agents to see, reason, and control computers via VNC, providing advanced vision features like OCR and image search, human-like input control, and optional SSH remote command execution.
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    MIT
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    Enables LLMs to interact with Discord channels by sending and reading messages through Discord's API, with a focus on maintaining user control and security.
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    MIT
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    Enables AI agents to interact with Windows operating systems through native UI automation, file navigation, application control, and system commands. Provides seamless integration between LLMs and Windows environments for tasks like clicking, typing, launching apps, and capturing desktop state.
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    MIT
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    Bridges Llama models with Claude Desktop through Ollama, enabling privacy-first local AI operations with 10+ built-in tools for file operations, web search, calculations, and custom model deployment. Features streaming support, hybrid intelligence workflows, and extensive Python ecosystem integration for research, development, and enterprise applications.
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    MIT