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MCP Server on EKS

@jbrcoleman

代码仓库

基本信息

分类

其他

传输方式

stdio

作者

jbrcoleman

关于 MCP Server on EKS

Demo eks mcp server

#mcp-server#eks#terraform#kubernetes

MCP Server on EKS 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

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

MCP Server on EKS 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 MCP Server on EKS?

This project deploys a Model Context Protocol (MCP) server on Amazon EKS using Terraform for infrastructure management. It provides natural-language and programmatic access to Kubernetes cluster operations, targeting developers and platform teams who manage AWS EKS clusters.

How to use MCP Server on EKS?

Deploy via the provided scripts in phases (infrastructure, Karpenter, app) or all at once using ./scripts/deploy.sh all. For legacy deployment without Karpenter, use make init plan apply then make deploy. Local testing is possible with python server-enhanced.py after installing dependencies. Integrate with Claude Desktop by copying the claude-desktop-config.json to the appropriate configuration path.

Key features of MCP Server on EKS

  • Real Kubernetes API integration with actual EKS clusters
  • Live cluster information with namespace counts and node status
  • Tools: get_cluster_status, list_pods, get_deployments
  • Health checks with liveness and readiness probes
  • Supports both in-cluster and local kubectl configurations
  • Claude Desktop and programmatic Python client integration

Use cases of MCP Server on EKS

  • Monitor real-time EKS cluster status and node health via Claude Desktop
  • List and inspect pods across any namespace with live status
  • Check deployment status and replica counts using natural language
  • Automate Kubernetes operations through a programmatic Python client
  • Test and validate MCP protocol implementations in a cloud-native environment

常见问题

1

What are the prerequisites?

AWS CLI configured, Docker installed, Terraform >= 1.0, kubectl installed, and an AWS account with an existing ECR repository.

2

How do I deploy with Karpenter?

Run `./scripts/deploy.sh all` for a single-command deployment, or deploy in phases: `./scripts/deploy.sh infrastructure`, then `./scripts/deploy.sh karpenter`, then `./scripts/deploy.sh app`.

3

How can I monitor the MCP server?

Use `kubectl get service mcp-server-service -n mcp-server` to access the service and `kubectl logs -f deployment/mcp-server -n mcp-server` to view logs.

4

How do I clean up resources?

For Karpenter deployments, remove resources in reverse order: `kubectl delete -f k8s/`, then destroy Karpenter Terraform, then the main Terraform. For legacy deployments, use `make destroy` (not explicitly shown but implied by cleanup section).

5

What does Karpenter add to the deployment?

Karpenter provides Kubernetes-native node autoscaling with a NodePool and EC2NodeClass, configuring instance types (t3.medium/large/xlarge), capacity types (spot/on-demand), and cost optimization by preferring spot instances.

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