Kube Core MCP
Kube 核心 MCP
将自然语言请求转换为有效的 kubectl 命令的 Kubernetes 命令处理服务。
特征
自然语言到 kubectl 命令的转换
命令验证和安全检查
支持常见的 kubectl 操作
用于 LLM 处理的 AWS Bedrock 集成
Related MCP server: MCP Remote Server for Kubernetes
先决条件
Python 3.8+
已配置 AWS 凭证
kubectl 安装和配置
Node.js 和 npm(用于前端)
设置
克隆存储库:
git clone <repository-url>
cd kube-core-mcp创建并激活虚拟环境:
python3 -m venv venv
source venv/bin/activate # On Windows: .\venv\Scripts\activate安装依赖项:
pip install -r requirements.txt配置AWS凭证:
export AWS_ACCESS_KEY_ID=your_access_key
export AWS_SECRET_ACCESS_KEY=your_secret_key
export AWS_REGION=your_region启动 FastAPI 服务器:
python src/server.pyAPI 文档
健康检查
curl http://localhost:3000/health服务
curl http://localhost:3000/api/services自然语言命令
curl -X POST http://localhost:3000/api/nl \
-H "Content-Type: application/json" \
-d '{"message": "show me the pods in default namespace"}'直接命令
curl -X POST http://localhost:3000/api/command \
-H "Content-Type: application/json" \
-d '{"command": "kubectl get pods -n default"}'安全
该服务以两种安全模式运行:
严格(默认):
仅允许预定义的命令模式
根据允许的模式验证所有命令
防止危险操作
允许:
允许更灵活的命令模式
仍然保持基本的安全检查
对于开发和测试有用
发展
运行测试
pytest tests/代码风格
black src/ tests/
flake8 src/ tests/贡献
分叉存储库
创建功能分支
进行更改
运行测试
提交拉取请求
执照
[添加许可信息]
This server cannot be deployed
Maintenance
Related MCP Connectors
Fail-closed policy guardrails for AI agents running kubectl, terraform, helm, and argocd.
The Google GKE MCP server is a managed Model Context Protocol server that provides AI applications with tools to manage Google Kubernetes Engine (GKE) clusters and Kubernetes resources. It exposes a structured, discoverable interface that allows AI agents to interact with GKE and Kubernetes APIs, enabling them to inspect cluster configurations, retrieve Kubernetes resource YAMLs, monitor operations like cluster upgrades, diagnose issues, and optimize costs—all without needing to parse text output or use complex kubectl commands.
Provides capabilities that let LLM agents perform a range of infrastructure management tasks.
Provides read access to your GKE and Kubernetes resources.
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