Eks Mcp Server logo

Eks Mcp Server

Organization
aws-samples
eks-mcp-server

Install, configure, and troubleshoot the EKS MCP Server connection in your AI assistant (Claude Code, Cursor, Kiro). Use ONLY for MCP server setup problems — config file location (.mcp.json), IAM permissions for eks-mcp actions, uvx installation, choosing AWS-hosted vs self-hosted mode, or debugging why MCP tools fail to appear after config. Also activate if user mentions "eks mcp", "mcp server", "mcp.json", or "mcp tools not showing". Do NOT use for actual cluster operations once MCP is working — those go to eks-recon (discovery), eks-operation-review (audits), or eks-upgrade-check (upgrades). For setting up the Arm migration MCP server used for arm64 readiness scanning, use graviton-migration, not this skill.

Overview

Publisheraws-samples
Repositorysample-apex-skills
Skill nameeks-mcp-server
Stars
90
Forks
20
Bundled files
2
LicenseMIT-0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by aws-samples on GitHub. Read the source before you install it.

Installation

Install the Eks Mcp Server AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/aws-samples/sample-apex-skills/tree/main/skills/eks-mcp-server
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/aws-samples/sample-apex-skills.git /tmp/sample-apex-skills
mkdir -p .claude/skills
cp -r /tmp/sample-apex-skills/skills/eks-mcp-server .claude/skills/eks-mcp-server
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Eks Mcp Server in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Eks Mcp Server on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Eks Mcp Server is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

EKS MCP Server Setup

This skill guides you through configuring the EKS MCP Server to enable live EKS cluster operations through your AI assistant.

When NOT to Use This Skill

  • Operational cluster work (listing resources, troubleshooting pods, reading K8s state) — use the EKS MCP tools directly once configured
  • EKS concept questions — use the other EKS skills

Setup Workflow

Step 0: Quick Check — Is EKS MCP Already Configured?

Before proceeding with setup, check if EKS MCP tools are already available:

  1. Look for MCP tools in your current environment starting with eks or mcp__eks
  2. Try a simple command: Ask to list EKS clusters — if it works, you're already set up

If MCP tools are available and working, stop here — skip this skill and proceed with your EKS task directly.


Step 1: Hosting Mode

Ask which hosting mode: AWS-Hosted (managed by AWS, requires IAM, CloudTrail audit logging) or Self-Hosted (local via uvx, supports kubeconfig/OIDC, works air-gapped). Explain the trade-off: AWS-Hosted is simplest if you have credentials; Self-Hosted if you need OIDC/kubeconfig auth or air-gapped support.

Wait for the user's answer before proceeding.


Step 2: Access Level

Ask what access level: Read-only (list, describe, view — cannot modify anything) or Full access (read-only plus create/update/delete on K8s resources, CloudFormation, IAM). Recommend read-only to start — can upgrade later by changing one flag.

Wait for the user's answer before proceeding.


Step 3: AI Assistant

Ask which AI assistant they're configuring. Supported options and their config locations:

AssistantConfig location
Claude Code.mcp.json (project-scope) or ~/.claude.json (user-scope)
Cursor IDESettings → Cursor Settings → Tools & MCP → New MCP Server
Kiro IDE~/.kiro/settings/mcp.json or .kiro/settings/mcp.json
VS Code (Cline)Cmd/Ctrl+Shift+P → "MCP" → Add Server → Open User Configuration

Wait for the user's answer before proceeding.


Step 4: Region & Profile

Ask which AWS region their EKS clusters are in (e.g., us-west-2, eu-west-1). Also ask if they use a named AWS profile (default: default). Region and profile can be asked together — they're a single decision point.

Wait for the user's answer before proceeding.


Step 5: Configure

Action 1 — Load reference file

Hosting modeReference file
AWS-Hosted${CLAUDE_SKILL_DIR}/references/aws-hosted-setup.md
Self-Hosted${CLAUDE_SKILL_DIR}/references/self-hosted-setup.md
  • Success → Proceed to Action 2.
  • Failure (file not found) → STOP. Show: "Cannot read reference file at <path>. Verify the skill is installed correctly (npx apex-skills@1.3.0 or check skills/eks-mcp-server/references/)." Wait for the user to resolve.

Action 2 — Generate config

Based on the answers from Steps 1–4 and the reference file content:

  1. Generate the complete JSON config block tailored to the user's choices (hosting mode, access level, region, profile, assistant)
  2. Show the user exactly where to paste it (file path or UI location from Step 3)
  3. Explain what each field does in one line each
  4. Ask the user to confirm they've saved the config before proceeding

Do NOT proceed to Step 6 until the user confirms.


Step 6: Verify Setup

Guide the user through verification:

  1. Restart — Tell the user to restart their AI assistant (IDE, CLI, or extension) to load the new MCP config
  2. Test — Ask the user to try: "List my EKS clusters" or "What EKS MCP tools are available?"
  3. Confirm — Ask if the tools appeared and the command worked

If verification fails, diagnose in this order:

  1. Config location — Is the JSON file in the correct path for the chosen assistant (Step 3 table)? Ask the user to confirm.
  2. JSON validity — Ask the user to check for syntax errors (trailing commas, missing braces). Provide a quick validation command: python3 -c "import json; json.load(open('<path>'))".
  3. Credentials — Ask the user to run aws sts get-caller-identity to confirm AWS credentials are working.
  4. Permissions — If credentials work but MCP tools fail, check IAM permissions per the Troubleshooting section of the reference file loaded in Step 5.

If none of the above resolve it, read the full Troubleshooting section from the reference file and walk through remaining scenarios.


Interaction Rules

  1. Do NOT call any tools when this skill is first activated. Start by checking Step 0, then ask questions.
  2. Do NOT assume hosting mode, access level, or assistant. Always ask explicitly.
  3. One decision per step. If the user has already provided an answer (explicitly in their message or from prior context), confirm it instead of re-asking — but never silently skip.
  4. If the user provides all choices up front (e.g., "set up AWS-hosted read-only for Claude Code in us-west-2"), summarize the choices back and ask for a single confirmation before generating config.
  5. Do NOT generate config until all 4 choices are confirmed (hosting mode, access level, assistant, region).
  6. Always read the relevant reference file before generating config — do not rely on memory for exact args, env vars, or paths.
  7. Do NOT retry a failed file read or command more than once. STOP and surface the error to the user.

After Setup

Once the MCP server is verified:

  • This skill's job is done
  • Hand off to the EKS MCP tools for actual cluster operations
  • For operational work, use eks-recon (discovery), eks-operation-review (audits), or eks-upgrade-check (upgrades)

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Eks Mcp Server AI skill do?

Install, configure, and troubleshoot the EKS MCP Server connection in your AI assistant (Claude Code, Cursor, Kiro). Use ONLY for MCP server setup problems — config file location (.mcp.json), IAM permissions for eks-mcp actions, uvx installation, choosing AWS-hosted vs self-hosted mode, or debugging why MCP tools fail to appear after config. Also activate if user mentions "eks mcp", "mcp server", "mcp.json", or "mcp tools not showing". Do NOT use for actual cluster operations once MCP is working — those go to eks-recon (discovery), eks-operation-review (audits), or eks-upgrade-check (upgrad...

Why use Eks Mcp Server on TypingMind?

Because you install it once and use it with any model. Eks Mcp Server is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Eks Mcp Server in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/aws-samples/sample-apex-skills/tree/main/skills/eks-mcp-server. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Eks Mcp Server?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Eks Mcp Server?

As many as you like. As long as a model supports skills, you can use Eks Mcp Server with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Eks Mcp Server AI skill free?

Yes. It is published on GitHub by aws-samples under the MIT-0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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