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Command Line

Run commands, capture output and otherwise interact with shells and command line tools.

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    Enables interaction with the Initia blockchain ecosystem across L1 and L2 rollups, supporting MiniEVM, MiniMove, and MiniWasm environments. Users can query chain state, manage assets, and execute transactions through LLM agents or an integrated CLI.
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    Apache 2.0
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    A secure MCP server for executing whitelisted shell commands with resource and timeout controls, designed for integration with Claude and other MCP-compatible LLMs.
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    MIT
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    Enables AI assistants to control running Neovim sessions via RPC socket, supporting command execution, state inspection, and LSP actions. Automatically discovers Neovim instances and supports multi-instance management on Linux and macOS.
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    MIT
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    Enables management of visible, interactive terminal sessions across platforms (macOS, Windows, Linux, WSL). Supports creating, executing commands, capturing output, and managing multiple terminal windows simultaneously.
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    Enables AI assistants to execute malware analysis tools on a REMnux system via Docker, SSH, or local connections. It provides automated file-type analysis, structured tool discovery, and security guardrails for streamlined malware investigation.
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    GPL 3.0
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    Encoding-aware, indentation-smart file tools for AI coding agents. 20+ tools including read/edit with automatic encoding detection, smart indentation conversion, SSH, SFTP, process management, and system utilities.
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    MIT
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    An OpenOCD debug MCP server that manages debugging targets and sessions by reusing VS Code launch configurations. It enables firmware flashing, GDB command execution, and real-time status monitoring of embedded systems.
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    MIT
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    A lightweight MCP server that provides AI assistants with access to a system's terminal through a secure terminal tool. It enables users to execute shell commands and receive stdout, stderr, and exit codes directly within an MCP-compatible client.
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    Enables AI assistants to securely connect to and manage remote servers via SSH, supporting command execution, file transfers via SFTP, and multi-server management with both password and SSH key authentication.
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    MIT
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    Interactive PTY sessions for AI agents — local shells, SSH with persistent sessions (ai-tmux daemon for attach/detach), and serial ports. Single Go binary, no tmux dependency.
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    MIT
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    Connects AI assistants to Siemens Questa Visualizer, enabling natural language control of HDL simulation such as opening waveforms, running simulation, and examining signal values.
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    MIT
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    Provides an MCP interface to a full Kali Linux environment running in Docker, enabling AI assistants to execute security tools like nmap, sqlmap, and metasploit. It allows users to start/stop the container, run shell commands, and transfer files for security testing and educational purposes.
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    MIT
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    Enables programmatic control over tmux terminal sessions for SSH access, command execution, and terminal automation. Supports creating sessions, sending commands, capturing output, and managing multiple panes for interactive debugging and monitoring.
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    MIT
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    An MCP server that allows users to list and kill operating system processes through natural language queries, making process management more intuitive across Windows, macOS, and Linux.
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    GPL 3.0
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    Enables AI assistants to execute shell commands and transfer files via SFTP across remote servers using existing SSH configurations. It supports parallel execution on server groups and provides built-in safety warnings for potentially destructive commands.
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    Mozilla Public 2.0
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    Enables SSH connectivity and remote command execution on servers, allowing users to test connections and run commands remotely with support for both local networks and public servers.
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    ISC
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    Enables secure SSH connections to multiple remote servers with support for command execution, file transfers (SFTP), directory listing, and both password and key-based authentication.
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    MIT
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    Enables AI assistants to execute shell commands and manage long-running processes within persistent tmux sessions across isolated workspaces. It features a dual-window architecture to separate raw command execution from interactive terminal output.
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    MIT

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