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Access 180+ tools for system control, DevOps, security, and automation
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "SystemKernelMCP" yet — see the docs or source repo.
Use SystemKernelMCP to inspect a Linux server's CPU, memory, disk, Docker containers, and last 200 lines of system logs, then identify issues and suggest fixes.
A system health summary, identified issues, and actionable remediation steps.
Use SystemKernelMCP to pull the latest code from a Git repository, switch to the release branch, run tests, build a Docker image, and deploy it to a Kubernetes cluster.
Code update status, test results, image build status, and Kubernetes deployment outcome.
Use SystemKernelMCP to scan the current host for open ports, running processes, critical configurations, and container security risks, then generate a severity report.
A security report with findings, severity levels, impact notes, and remediation recommendations.
Enable AI agents to fully control Linux desktops and manage system tasks.
Monitor and optimize Linux kernel metrics via MCP with human-consent safeguards.
Use MCP to run remote file, system, network, and Git tools.
Connect to a Jupyter kernel to manage, edit, and run notebooks.
Use one MCP server for filesystem, database, web, and system operations.
Control terminal, search files, and edit diffs for local dev workflows.