EKS MCP Server

@mahmoudsalah84

代码仓库

基本信息

分类

其他

许可证

MIT

传输方式

stdio

作者

mahmoudsalah84

关于 EKS MCP Server

暂无概览

#eks-mcp-server#eks #mcp #kubernetes #genai

EKS MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "eks-mcp-server-new": {
      "command": "python",
      "args": [
        "main.py"
      ]
    }
  }
}

EKS MCP Server 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

What is EKS Model Context Protocol (MCP) Server?

A lightweight server implementing the Model Context Protocol for EKS operations, providing a standardized interface for GenAI agents to interact with EKS clusters. It includes comprehensive EKS and Kubernetes resource management capabilities.

How to use EKS Model Context Protocol (MCP) Server?

Run locally with Python (pip install -r requirements.txt, then python main.py) or with Docker (docker build -t eks-mcp-server . && docker run -d -p 8000:8000 --name mcp-server eks-mcp-server). Docker Compose (docker-compose up -d) and ECS deployment scripts are also provided. Tests are available via test_*.py scripts.

Key features of EKS Model Context Protocol (MCP) Server

Fast response times with proper timeout handling
Comprehensive EKS and Kubernetes operations support
Multiple authentication methods for EKS clusters
Robust error handling and detailed logging
Docker containerization for easy deployment
ECS deployment support with client using Amazon Bedrock

Use cases of EKS Model Context Protocol (MCP) Server

GenAI agents listing EKS clusters and describing nodegroups
Retrieving pod logs, deployments, and services from a cluster
Managing Kubernetes resources across namespaces
Automating cluster inspection and troubleshooting via MCP

常见问题

What operations does the server support?

It supports EKS operations (list/describe clusters, nodegroups) and Kubernetes operations (list pods, deployments, services, get pod logs, etc.) via POST to `/mcp/v1/query`.

How does authentication work?

The server supports AWS SDK authentication, kubectl with generated kubeconfig, and direct Kubernetes API calls. The current implementation uses the kubectl method.

What are the prerequisites?

Docker (for containerized deployment) or Python 3.8+ (for local development), AWS credentials for production use, and ECS task role added to the EKS cluster’s aws-auth ConfigMap when deployed on ECS.

How is the server deployed?

Deploy locally with Python/Docker, or to ECS using scripts in `ecs-deployment/`. The server is already deployed to ECS at `http://3.90.45.69:8000`.

Is there a client included?

Yes, a client implementation using Amazon Bedrock for conversational interaction is provided in the `client/` directory.

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