$ loading_
Run remote commands over persistent SSH sessions with preserved context and state.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "sshmcp" yet — see the docs or source repo.
Connect to my staging server, check the current working directory, Python version, and APP_ENV environment variable, then continue troubleshooting while preserving session state.
Returns remote inspection results and continues running follow-up debug commands in the same SSH session.
SSH into the remote host, change to /var/www/app, pull the latest code, install dependencies, and restart the service; keep every step in the same session.
Executes deployment commands in order while preserving working directory and environment variables without reinitializing.
Connect to the analytics server, enter the project directory in the existing virtual environment, run the data-cleaning script, and inspect logs; if it fails, keep checking dependencies and output files in the same session.
Provides script results, a log summary, and follow-up troubleshooting details within the same preserved context.
Execute SSH commands on remote servers and resume large file transfers.
Connect AI to remote servers via SSH for commands and secure file transfer.
Let AI run persistent interactive SSH sessions for remote operations tasks.
Let AI handle secure remote SSH commands, transfers, and port forwarding.
Securely orchestrate SSH commands, files, tunnels, and fleet operations across hosts.
Securely diagnose remote servers over SSH with guarded read and write access.