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    Enables any MCP-compatible AI, whether in the browser or running locally, to create and edit projects, run terminal commands and long-running jobs, and optionally use Docker, all guarded by a policy engine, workspace jail, authentication, and audit logging.
    23
    MIT
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    About AI/ML-powered diagnostic engine for SRE Observability on Konflux and OpenShift. It uses the Model Context Protocol (MCP) and 40+ tools to analyze logs, metrics, and traces, enabling automated RCA and predictive analysis.
    37
    Apache 2.0
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    Enables external local AI agents to connect to VPS hosts, type into and read back from live SSH terminals, run commands, and trigger high-level plan-execute agent tasks over stdio or Streamable HTTP. Every write goes through a danger-command risk engine with configurable approval policies, capability toggles, and audited mcp provenance.
    7 npm
    MIT
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    Enables an AI agent to see and control a Linux desktop via Wayland/Hyprland, providing screenshots, structured desktop state, pointer/keyboard input, semantic window/workspace tools, and a policy engine for safe execution.
    Apache 2.0
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    Provides safe, read-only access to memory analysis and debugging functionality through the Model Context Protocol, allowing users to examine computer memory for software development, security research, and educational purposes.
    69
    MIT
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    Advanced shell command execution for AI agents — a Model Context Protocol (MCP) server with security policy engine, process lifecycle management, bounded output capture, POSIX signals, and token-efficient responses.
    6
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    Creative Commons Attribution Non Commercial 4.0 International