kube-mcp-server
A Go-based MCP server intended to expose Kubernetes cluster capabilities to an AI agent via the Model Context Protocol (MCP).
Score Breakdown
⚙ Agent Friendliness
🔒 Security
The supplied data does not include implementation details. For MCP-to-Kubernetes bridges, main risks are credential handling and overly broad Kubernetes RBAC. TLS and secret-handling cannot be verified from provided metadata alone.
⚡ Reliability
Best When
You have an MCP-capable agent/runtime and want a consistent, tool-based bridge from agent to Kubernetes (typically alongside Kubernetes RBAC).
Avoid When
You cannot enforce Kubernetes RBAC/least-privilege or you need strictly audited, human-approved operational workflows for changes.
Use Cases
- • Let an AI agent inspect Kubernetes cluster state (e.g., resources, workloads)
- • Enable agent-driven operational tasks that require Kubernetes context
- • Provide a standardized tool interface for Kubernetes operations in agent workflows
Not For
- • Direct internet-facing control-plane automation without strong access controls
- • Use in environments where exposing cluster operations to an agent is not permitted
- • Handling of non-Kubernetes infrastructure tasks
Interface
Authentication
No authentication details were provided in the supplied data. For Kubernetes-backed tools, effective security typically relies on kubeconfig/cluster credentials and Kubernetes RBAC, but this cannot be confirmed from the provided material.
Pricing
Open-source repo under MIT license per provided metadata; no pricing info provided.
Agent Metadata
Known Gotchas
- ⚠ Kubernetes operations are highly privilege-dependent; ensure least-privilege RBAC before enabling agent tool use
- ⚠ Be careful about destructive actions (delete/scale/patch) and implement confirmation/auditing in the agent workflow
- ⚠ Without clear tool contracts, an agent may call tools with wrong parameters—validate inputs at the MCP layer if available
Alternatives
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Scores are editorial opinions as of 2026-04-04.