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Securely run SSH commands, fetch logs, and summarize results with a local LLM.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "agentic-ssh-mcp" yet — see the docs or source repo.
Connect to the production server over SSH, check Nginx and application service status, retrieve the latest 200 lines of error logs, and summarize likely causes with next troubleshooting steps.
Provides service status, key error log excerpts, and a concise summary of likely causes and recommended troubleshooting steps.
Connect to the target Linux host, run commands for CPU, memory, disk, and load metrics, then summarize current bottlenecks and risks in concise language.
Outputs key resource metrics, notes on anomalies, and an easy-to-read system health summary.
After deployment, fetch the latest application logs over SSH, compare anomalies before and after release, and summarize whether new error patterns or warning signals appeared.
Gives post-deployment log highlights, a list of potential new issues, and a conclusion on whether to roll back or keep monitoring.
Give AI persistent SSH access for remote commands, file transfer, and port forwarding.
Securely orchestrate SSH commands, files, tunnels, and fleet operations across hosts.
Securely let AI assistants run remote server commands over SSH.
Securely diagnose remote servers over SSH with guarded read and write access.
Let AI SSH into servers, run commands, and handle deployment tasks.
Connect AI to remote servers via SSH for commands and secure file transfer.