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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.
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    Apache 2.0
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    A secure server that enables AI applications to execute shell commands in specified directories, supporting multiple shell types (bash, sh, cmd, powershell) with built-in security features like directory isolation and timeout control.
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    Apache 2.0
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    Provides Unix command documentation directly within Claude conversations, allowing users to retrieve help pages, man pages, and usage information without leaving the chat interface.
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    MIT
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    A desktop launcher and local MCP workspace server that enables ChatGPT and other MCP clients to securely read, edit, search, run commands, and show changes in selected local project folders.
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    MIT
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    A secure protocol server that allows AI assistants to safely interact with Ubuntu systems through controlled file operations, command execution, package management, and system information retrieval.
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    MIT
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    A plugin for the Tabby terminal emulator that allows AI assistants to execute commands, manage SSH sessions, and read terminal buffers through the Model Context Protocol. It includes a pair programming mode with confirmation dialogs to ensure safe and controlled terminal automation.
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    MIT
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    A human-in-the-loop SSH bridge for AI agents that requires approval for every command before execution on configured servers.
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    MIT
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    A Python-based server that enables AI assistants to interact with an Unraid server through the official Unraid GraphQL API, providing read-only access to system information, Docker containers, VMs, storage, and more.
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    MIT
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    A read-only MCP server for Kubernetes that allows querying cluster information and diagnosing issues through natural language interfaces like Claude.
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    MIT
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    AI sidecar terminal — let Claude/Cursor run commands in a visible, persistent terminal you control.
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    MIT
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    Enables LLM agents to execute arbitrary Python code in secure, isolated sandbox environments with automatic dependency management and file handling. Each code execution runs in a fresh virtual environment that gets destroyed after completion, providing safe and reproducible Python code execution.
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    MIT
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    MCP server that enables AI to fully control macOS — mouse, keyboard, terminal, screenshots, window management, UI element detection, and provides AI-optimized information reporting.
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    MIT
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    An MCP server for spawning and managing bash commands asynchronously. Run multiple shell commands in parallel and check their progress independently.
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    MIT