mcp-k8s-eyeThis MCP server connects AI assistants to your Kubernetes environment so you can view, edit, and troubleshoot cluster resources. It lets you check container logs, scale applications, and monitor syste

— (0)

Reviewed by Daniel Nikulshyn·Updated July 2026

Overview

mcp-k8s-eye is a tool that connects AI assistants to a Kubernetes environment, allowing users to view, edit, and troubleshoot cluster resources. It provides features for managing Kubernetes clusters, analyzing workload status, and performing operations such as listing, getting, creating, updating, and deleting resources. The tool also supports diagnostics and monitoring of various Kubernetes resources, including pods, deployments, services, and nodes.

Key features

Connect to a Kubernetes cluster
Generic Kubernetes Resources management
Pod management capabilities (exec, logs)
Deployment management capabilities (scale)
Diagnostics for various Kubernetes resources
Monitoring of workload resource usage (cpu, memory)

Pricing

Model: Free
Category: MCP Servers
Rating: No reviews yet

Use cases

Cluster Management

mcp-k8s-eye can be used to manage a Kubernetes cluster, including listing, getting, creating, updating, and deleting resources.

Diagnostics and Troubleshooting

The tool provides advanced diagnostics features for various Kubernetes resources, including pods, deployments, services, and nodes, making it easier to identify and troubleshoot issues.

Pros & Cons

Pros

Provides comprehensive management capabilities for Kubernetes clusters
Supports multiple transport protocols, including Stdio and SSE
Offers advanced diagnostics and monitoring features for various Kubernetes resources

Cons

Requires Go 1.23 or higher to build and run
Needs kubectl to be configured for use

Reviews

No reviews yet. Be the first!

Q&A

Does mcp-k8s-eye provide monitoring of resource usage such as CPU and memory?

Yes, it offers diagnostics and monitoring of workload resource usage (CPU, memory) for pods, deployments, replica sets, stateful sets, daemon sets, as well as node and cluster capacity utilization.

Asked by Youssef El-Sayed · Sep 11, 2025

What transport protocols are available for communicating with mcp-k8s-eye?

The server supports multiple transport protocols, including standard I/O (Stdio) and Server‑Sent Events (SSE), allowing flexibility in how AI clients connect.

Asked by Thandiwe Dlamini · Aug 5, 2025

Can mcp-k8s-eye be used to automate scaling of deployments via an AI assistant?

Yes, the tool includes a deployment_scale operation that lets an AI assistant programmatically scale deployments in a namespace, in addition to listing, creating, updating, and deleting resources.

Asked by Hannah Goldberg · Jul 20, 2025

What Kubernetes versions does mcp-k8s-eye support and are there any runtime dependencies?

mcp-k8s-eye requires Go 1.23 or higher to build and run, and it needs a configured kubectl context to connect to your cluster. It works with any Kubernetes version that kubectl can manage.

Asked by Devin Walker · Jun 22, 2025