wenhuwang/mcp-k8s-eye
by Various
MCP Server for kubernetes management and diagnose your cluster and applications
MCP
wenhuwang/mcp-k8s-eye
Added 1 June 2026
Overview
wenhuwang/mcp-k8s-eye is an MCP server for Kubernetes management and cluster diagnosis. It enables users to manage and diagnose Kubernetes clusters and applications through the Model Context Protocol.
Best for
Best for
Developers who want to manage and diagnose Kubernetes clusters via MCP-enabled tools.
Use cases
- Manage Kubernetes clusters via MCP clients
- Diagnose Kubernetes applications and resources
- Integrate Kubernetes operations into MCP-based workflows
How to use
Install
git clone https://github.com/wenhuwang/mcp-k8s-eye.git && cd mcp-k8s-eye && go build -o mcp-k8s-eye Tools exposed
resource_getresource_listresource_create_or_updateresource_deleteresource_describedeployment_scalepod_execpod_logspod_analyzedeployment_analyzestatefulset_analyzeservice_analyzecronjob_analyzeingress_analyzenetworkpolicy_analyzevalidatingwebhook_analyzemutatingwebhook_analyzenode_analyzeworkload_resource_usage
Tested with
Cursor
Example client config
{\n "mcpServers": {\n "k8s eye": {\n "command": "YOUR mcp-k8s-eye PATH",\n "env": {\n "HOME": "USER HOME DIR"\n }\n }\n }\n} Notes
wenhuwang/mcp-k8s-eye is an MCP server for Kubernetes management and cluster diagnosis. It enables users to manage and diagnose Kubernetes clusters and applications through the Model Context Protocol.
28 stars on GitHub. Last updated 2025-05-16. Licensed Apache-2.0.
Use cases
- Manage Kubernetes clusters via MCP clients
- Diagnose Kubernetes applications and resources
- Integrate Kubernetes operations into MCP-based workflows
Pros
- Open source with a Go codebase for performance
- Provides Kubernetes management and diagnosis through the MCP standard
- Lightweight server that can be self-hosted
Cons
- Low star count indicates limited adoption and community support
- Lack of extensive documentation or examples beyond the repository
- Relies on the MCP ecosystem which is still emerging
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Open source with a Go codebase for performance
- Provides Kubernetes management and diagnosis through the MCP standard
- Lightweight server that can be self-hosted
Cons
- Low star count indicates limited adoption and community support
- Lack of extensive documentation or examples beyond the repository
- Relies on the MCP ecosystem which is still emerging
Pairs with
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