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Configure networking, test connectivity, and manage routes in ContainerLab containers.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "ContainerLab MCP Server" yet — see the docs or source repo.
Configure static IPs, default gateways, and DNS for three Linux containers in a ContainerLab topology, and output the execution steps and results by container name.
Returns network configuration commands, application status, and a per-container result summary.
Check connectivity among app1, app2, and gw1 in ContainerLab, run ping or traceroute, and identify packet loss, latency, and possible failure points.
Generates connectivity test results, path details, and troubleshooting recommendations.
Add and verify static routes on router1 and host1 in ContainerLab so that 10.10.0.0/24 and 10.20.0.0/24 can communicate, and output a before-and-after comparison.
Returns route configuration changes, verification results, and an explanation of connectivity status.
Let AI agents manage, build, and diagnose Linux containers on macOS.
Automate GNS3 lab projects, nodes, consoles, and SSH through MCP clients.
Control quantum lab instruments and measurement systems via QCodes and JupyterLab.
Manage task records and seeded documents locally through controlled MCP tool functions.
Manage Podman containers via REST API for creation, inspection, and operations.
Test all MCP protocol features when building and validating clients.