$ loading_
Persistent SSH remote shell access for AI with transfer, forwarding, and long tasks.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "remote-shell-mcp" yet — see the docs or source repo.
Connect to the production server and keep the session alive. Go to /srv/app, pull the latest code, restart the service, then monitor the latest 200 lines of application logs and summarize possible causes if errors appear.
Executed remote commands, service restart results, and a summary of log errors with troubleshooting suggestions.
Upload a local data-processing script and config files to a remote Linux host, start a job expected to run for 3 hours in the background, keep the connection alive, and periodically report progress, CPU/memory usage, and log summaries.
File transfer results, background job status, and ongoing updates on progress and resource usage.
Connect to the remote development machine and create local-to-remote port forwarding for an internal web service so I can access it in my browser. Then inspect the service process status, open ports, and recent logs to find why the page is responding slowly.
Port forwarding status, service diagnostics, and likely causes of the performance issue.
Give AI persistent SSH access for remote commands, file transfer, and port forwarding.
Securely run remote commands over persistent SSH sessions for server management and automation.
Securely diagnose remote servers over SSH with guarded read and write access.
Let AI run persistent interactive SSH sessions for remote operations tasks.
Provide AI agents with persistent SSH sessions, port forwarding, and file writes.
Securely let AI assistants run remote server commands over SSH.