Enables safe execution of terminal commands across different shells (bash, cmd, PowerShell) with configurable timeouts, working directories, and resource limits for command-line operations through AI assistants.
A secure terminal execution server that enables controlled command execution with security features and resource limits via the Model Context Protocol (MCP).
A VSCode and Cursor extension that captures real-time terminal output and exposes it to AI assistants via the Model Context Protocol. It enables agents to proactively monitor logs, command execution, and errors without requiring manual copy-pasting from the user.
Enables Claude to execute PowerShell commands and scripts in a persistent interactive terminal on Windows, with real-time output streaming to a web terminal.
Provides cross-platform terminal access through MCP, enabling AI assistants to create and manage interactive terminal sessions, execute commands, and capture visual snapshots on Windows, Linux, and macOS.
Enables AI agents to spawn persistent terminal sessions, send keystrokes, read screen state, and assert output, allowing them to interact with stateful terminal applications like vim, htop, and gdb.
MCP server allowing LLMs to execute commands on Windows terminals, including local shells (cmd, PowerShell, bash) and remote SSH connections with a 3-level security model.
Execute commands on remote Linux servers through Claude with an interactive web terminal showing full output while Claude receives smart-filtered summaries for token efficiency. Supports multi-server management, SFTP file transfers, batch scripts, and automation recipes.
Secure MCP server for controlled terminal access, enabling AI assistants to run whitelisted commands with configurable working directory, timeout, and output limits.
Local daemon that bridges AI assistants to the local filesystem with read-only commands and optional write mode, enforcing strict security filters to prevent credential leakage.