MCP-OpenStack-Ops
Reduces manual OpenStack operations by automating cluster monitoring, instance provisioning, and network troubleshooting directly from Claude.
Professional OpenStack operations automation via MCP server. Specialized tools for cluster monitoring, instance management, volume control & network analysis. FastMCP + OpenStack SDK + Bearer auth. Claude Desktop ready. Perfect for DevOps & cloud automation.
- Query live instance status and resource utilization across clusters
- Provision or terminate compute instances with custom configurations
- Diagnose network connectivity issues between instances and subnets
Reduces manual OpenStack operations by automating cluster monitoring, instance provisioning, and network troubleshooting directly from Claude. Cuts context-switching and enables rapid infrastructure changes without CLI hopping.
DevOps engineers and cloud platform teams managing OpenStack deployments who need programmatic control over compute, storage, and network resources.
https://github.com/call518/MCP-OpenStack-Ops
By call518
How to Get It
claude mcp add openstack-ops -e OS_AUTH_HOST=<host> -e OS_USERNAME=<user> -e OS_PASSWORD=<password> -e OS_PROJECT_NAME=<project> -- uvx --python 3.12 mcp-openstack-ops
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Once it’s connected, paste this into Claude:
Help me query live instance status and resource utilization across clusters
Trust Signals Auto-scanned
Data & Access
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 40 GitHub stars; 2 contributors; last commit 8d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.
Evaluation
catalog_hygiene stale-eval refresh: Scored from trust signals (evidence-eval-v1): 40 GitHub stars; 2 contributors; last commit 8d ago; license MIT.