A
licenseNot graded
qualityC
maintenanceAn open source MCP server empowering SREs with intelligent observability, predictive analytics, and AI-driven automation across Kubernetes, OpenShift, and Tekton environments.
31 PyPI
11
Apache 2.0
OpenShift 4 MCP Server
by ay-garg
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TDQS
B3/5.0
Scored across 216 tools
Disambiguation5/5
Every tool name includes a specific action and resource type (e.g., list_pods, get_pod, scale_deployment), making each tool's purpose clear and distinct. Even with 216 tools, the consistent naming prevents ambiguity, and generic escape hatches like run_oc_command are explicitly labeled.
Naming Consistency5/5
All tools follow a consistent verb_noun pattern (list_, get_, create_, delete_, scale_, rollout_*, etc.), with resource types as the noun. Deviations like apply_manifest and get_resource still adhere to the same structure, ensuring predictability.
Tool Count1/5
216 tools is extreme and far exceeds any reasonable scope for an MCP server. Even for a comprehensive OpenShift management platform, this count is overwhelming and will likely confuse agents, making tool selection difficult. It falls into the 'extreme mismatch' category.
Completeness4/5
The tool set covers an extensive range of OpenShift domains including compute, networking, storage, security, operators, machine management, monitoring, service mesh, OpenShift AI, virtualization, GitOps, Tekton, and ACM. However, some resource types lack individual get/update/delete operations (e.g., Deployments have no get or delete), relying on generic tools like get_resource and delete_resource, creating minor gaps.
Maintenance
ActivityMaintained
ResponsivenessNo issues