# Amazon EKS MCP Server

> Use this tool when you need to efficiently manage and troubleshoot Amazon EKS clusters, solving problems such as performance issues, node failures, and deployment errors. It takes in cluster data and logs as inputs, providing actionable insights and recommendations as outputs. Ideal for use in Kubernetes environments, this AI-powered server streamlines cluster operations and minimizes downtime.

Canonical page: https://skillsregistry.net/skills/aws-api-us-east-1-eks-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/aws-api-us-east-1-eks-mcp-server

## Description

AI-powered Amazon EKS cluster management and troubleshooting

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/aws.api.us-east-1.eks-mcp%2Fserver)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "aws-api-us-east-1-eks-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aws-api-us-east-1-eks-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aws-api-us-east-1-eks-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt