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Run remote commands over interactive SSH with live output and file transfer.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-ssh-live" yet — see the docs or source repo.
Connect to a remote GPU server over SSH, start python train.py, and stream logs continuously; if the process hangs, let me send an interrupt signal; when training finishes, download logs/train.log via SFTP.
Streams line-by-line training logs, supports interrupt control, and downloads the log file afterward.
Connect to the production server, run git pull and docker compose up -d with live output; then run systemctl status myapp and curl the local health-check endpoint, and summarize whether deployment succeeded.
Shows live deployment output, service status, and health-check results, then reports success or failure.
SSH into a test machine, start an interactive script that requires stdin, send options step by step, and read each returned line in real time; if an error is detected, send a termination signal immediately and save the diagnostic report locally.
Completes the interactive diagnostic flow, preserves live output, and safely terminates with an exported report on error.
Give AI persistent SSH access for remote commands, file transfer, and port forwarding.
Let AI run persistent interactive SSH sessions for remote operations tasks.
Let AI securely access remote machines for ops, transfer, and tunneling.
Connect AI to remote servers via SSH for commands and secure file transfer.
Securely diagnose remote servers over SSH with guarded read and write access.
Manage remote Linux machines over SSH directly from an AI chat.