https://github.com/mikhae1/kubeview-mcp
A fast, read-only MCP server enabling code-driven AI analysis of Kubernetes clusters
https://github.com/mikhae1/kubeview-mcp
ai-agents ai-tools argo code-mode code-mode-mcp devops diagnostics helm kubectl kubernetes kubernetes-tools llm-tools mcp mcp-code-execution mcp-server
Last synced: 5 months ago
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A fast, read-only MCP server enabling code-driven AI analysis of Kubernetes clusters
- Host: GitHub
- URL: https://github.com/mikhae1/kubeview-mcp
- Owner: mikhae1
- License: mit
- Created: 2025-08-02T07:59:53.000Z (11 months ago)
- Default Branch: master
- Last Pushed: 2026-01-14T17:50:25.000Z (5 months ago)
- Last Synced: 2026-01-14T21:38:27.757Z (5 months ago)
- Topics: ai-agents, ai-tools, argo, code-mode, code-mode-mcp, devops, diagnostics, helm, kubectl, kubernetes, kubernetes-tools, llm-tools, mcp, mcp-code-execution, mcp-server
- Language: TypeScript
- Homepage:
- Size: 604 KB
- Stars: 3
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Changelog: CHANGELOG.md
- License: LICENSE
Awesome Lists containing this project
- toolsdk-mcp-registry - ✅ kubeview-mcp - only Model Context Protocol MCP server enabling code-driven AI analysis of Kubernetes clusters. (10 tools) (node) (MCP Servers Directory / Quick Submission)
README
# KubeView MCP – Kubernetes Model Context Protocol Server
[](https://opensource.org/licenses/MIT)
[](https://nodejs.org/)
[](https://www.typescriptlang.org/)
**KubeView** is a read-only Model Context Protocol (MCP) server that enables AI agents (like Cursor IDE, Claude Code CLI, Codex CLI, Gemini CLI, etc.) to inspect, diagnose, and debug Kubernetes clusters safely. It provides a comprehensive set of tools for Kubernetes, Helm, Argo Workflows, and Argo CD.
Learn more about the benefits of code mode and implementation in [Evicting MCP tool calls from your Kubernetes cluster](https://dev.to/mikhae1/evicting-mcp-tool-calls-from-your-kubernetes-cluster-428k).
---
## ✨ Features
- **🧠 Code Mode**: Sandboxed TypeScript environment for complex reasoning and multi-step workflows.
- **🛡️ Read-Only & Safe**: Designed for production safety with zero write access and sensitive data masking.
- **☸️ Kubernetes Integration**: List/get resources, fetch metrics, stream logs and events, execute commands, and tools to diagnose network issues.
- **📦 Helm Support**: Inspect releases, values, manifests, and history.
- **🐙 Argo Ecosystem**: Manage Argo Workflows and Argo CD applications using direct Kubernetes API or CLI.
---
## 🚀 Quick Start
### Prerequisites
- Node.js ≥ 18
- Access to a Kubernetes cluster
- Optionally, CLIs installed in current $PATH: `helm`, `argo`, `argocd`
### Installation
```bash
# start the server
npx -y kubeview-mcp
# install as a claude code mcp server
claude mcp add kubernetes -- npx kubeview-mcp
```
### Configuration for MCP Clients
Add to your `mcpServers` configuration (e.g., in Cursor or Claude Desktop):
```json
{
"mcpServers": {
"kubeview": {
"command": "npx",
"args": ["-y", "kubeview-mcp"]
}
}
}
```
### Environment Variables
Configure the server using environment variables:
| Variable | Description | Default |
|----------|-------------|---------|
| `KUBECONFIG` | Path to kubeconfig file | `~/.kube/config` |
| `MCP_MODE` | Server mode: `all`, `code`, or `tools` | `all` |
| `MCP_LOG_LEVEL` | Log level (`error`, `warn`, `info`, `debug`) | `info` |
| `MCP_HIDE_SENSITIVE` | Enable global sensitive data masking | `false` |
---
## 🛠️ Tools Overview
### Kubernetes
- **`kube_list`**: List resources or get cluster diagnostics.
- **`kube_get`**: Describe specific resources (supports all K8s types).
- **`kube_metrics`**: Fetch CPU/memory metrics for nodes and pods.
- **`kube_logs`**: Fetch or stream container logs.
- **`kube_exec`**: Execute commands in containers (read-only recommended).
- **`kube_port`**: Port-forward to pods/services.
- **`kube_net`**: Run in-cluster network diagnostics.
### Helm
- **`helm_list`**: List Helm releases.
- **`helm_get`**: Fetch release values, manifests, and history.
### Argo
- **`argo_list` / `argo_get`**: Manage Argo Workflows.
- **`argocd_app`**: Inspect Argo CD applications and resources.
### Utilities
- **`run_code`**: Execute sandboxed TypeScript code for complex tasks.
---
## 🧠 Code Mode
Inspired by [Code execution with MCP](https://www.anthropic.com/engineering/code-execution-with-mcp), KubeView ships with a code-mode runtime that allows agents to explore the API, search tools, and execute complex workflows in a sandboxed environment.
### What it provides
- **MCP Bridge Layer**: Seamlessly connects to all registered MCP server tools.
- **Dynamic TypeScript Definitions**: Automatically converts tool schemas into a strongly-typed `global.d.ts` resource, enabling agents to use valid TypeScript patterns and enjoy type safety without hallucinating parameters.
- **Tool Search Utilities**: Runtime helpers like `tools.search()` and `tools.list()` allow agents to progressively discover capabilities without needing to load the entire schema context upfront.
- **Sandboxed Execution**: A locked-down Node.js environment (via `vm`) with controlled access to the `console` and the `tools` global object, ensuring safe execution of agent-generated code.
### Usage
For complex tasks requiring logic, loops, or data processing, use **Code Mode**:
```json
"env": { "MCP_MODE": "code" }
```
### 💡 Pro Tip: Code Mode Prompt
The server includes a built-in prompt named **`code-mode`** that injects the full TypeScript API documentation, tool overview, and examples into the context.
**In Cursor IDE**:
Simply type `/kubeview/code-mode` in the prompt (or select it from the `/` prompt menu). This gives the AI the exact context it needs to write correct `run_code` scripts immediately.
---
## 💻 Local Development
1. **Clone & Install**:
```bash
git clone https://github.com/mikhae1/kubeview-mcp.git
cd kubeview-mcp
npm install
```
2. **Build & Run**:
```bash
npm run build
npm start
```
3. **Test**:
```bash
npm test
```
### CLI Usage
You can test tools directly via the CLI:
```bash
npm run command -- kube_list --namespace=default
```
---
## 📄 License
MIT © [mikhae1](https://github.com/mikhae1/kubeview-mcp)