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Access the HMS O2 cluster via SSH for jobs, files, and remote management.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "o2-mcp" yet — see the docs or source repo.
Use o2-mcp to connect to the HMS O2 cluster, go to my project directory /n/data/projectA, submit the Slurm job script run_analysis.sh, and return the job ID, submission status, and queue details.
A job submission result with the job ID, queue entry confirmation, and a brief queue status summary.
Use o2-mcp to log into the HMS O2 cluster, check disk usage for my home directory, run df -h and du -sh ~/, and summarize which directories consume the most space.
Disk capacity and directory usage results, plus concise recommendations for freeing up space.
Use o2-mcp to upload the local file results_summary.csv to /n/data/projectA/output/ on the HMS O2 cluster, then list the target directory files and confirm whether the upload succeeded.
The file transfer status, a listing of the target directory, and confirmation of upload success or failure.
Execute SSH commands on remote servers and resume large file transfers.
Run remote SSH commands, transfer files, and keep audit logs for AI-driven ops.
Connect AI agents to OSDU for search, storage, schema, and dataset operations.
Securely automate SSH tasks and manage MCP workflows with policy controls.
Manage OpenShift cluster resources with natural language through the Cluster Manager API.
Securely diagnose remote servers over SSH with guarded read and write access.