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Claude Kubernetes MCP Server: MCP Integration & API Efficiency - MCP Implementation

Claude Kubernetes MCP Server: MCP Integration & API Efficiency

Claude Kubernetes MCP Server: Streamlines model context management via MCP integration, boosting Kubernetes API efficiency & scalability for modern AI workloads.

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About Claude Kubernetes MCP Server

What is Claude Kubernetes MCP Server: MCP Integration & API Efficiency?

Claude Kubernetes MCP Server is a Go-based orchestration tool designed to unify Kubernetes automation with advanced AI-driven control. By integrating ArgoCD, GitLab, Claude AI, and Vault, it provides a centralized REST API layer for managing cloud-native environments. The server leverages model control planes (MCP) to execute complex workflows, enabling programmable interactions with infrastructure while optimizing API efficiency through structured resource handling and authentication protocols.

How to Use Claude Kubernetes MCP Server: MCP Integration & API Efficiency?

Deployment Workflow

  1. Environment Setup: Install Go 1.20+, Docker, and configure AWS/EKS credentials.
  2. Repository Cloning: Use git clone to retrieve the project files.
  3. Configuration: Populate config.yaml with ArgoCD credentials, GitLab tokens, and Claude API keys. Utilize environment variable interpolation for sensitive data.
  4. Execution: Run locally via go run, or containerize using Docker/Docker Compose. For production, deploy via Helm charts to manage secrets and config maps securely.

Claude Kubernetes MCP Server Features

Key Features of Claude Kubernetes MCP Server: MCP Integration & API Efficiency?

  • Cross-Platform Integration: Seamless interoperability between Kubernetes, ArgoCD, GitLab, and Claude AI models.
  • API-First Design: Exposes granular endpoints for namespace/resource management, with rate-limiting optimizations.
  • Context-Aware Authentication: Enforces API key validation and supports Vault integration for secret management.
  • Debugging Capabilities: Built-in logging levels (e.g., LOG_LEVEL=debug) for troubleshooting complex workflows.
  • Production Hardening: Helm-based deployments with configurable resource quotas and network policies.

Use Cases of Claude Kubernetes MCP Server: MCP Integration & API Efficiency?

Operational Scenarios

Automated Rollouts

Trigger ArgoCD deployments based on GitLab CI/CD events, validated by real-time Claude AI analysis of commit diffs.

Resource Troubleshooting

Use /mcp/troubleshoot endpoints to diagnose pod failures by cross-referencing Kubernetes events with AI-generated diagnostics.

GitOps Compliance Checks

Automate policy enforcement by analyzing YAML manifests through Claude's NLP capabilities before ArgoCD syncs changes.

Claude Kubernetes MCP Server FAQ

FAQ from Claude Kubernetes MCP Server: MCP Integration & API Efficiency?

Why use environment variables over config.yaml?

For sensitive data like API keys, environment variables provide better isolation and comply with 12-factor app principles. The YAML file acts as a fallback for non-sensitive configuration.

How to handle API rate limiting?

Implement client-side retries with exponential backoff. Server-side, adjust maxTokens in Claude API requests and monitor /health endpoint metrics.

Can this replace Kubernetes Operators?

No, but it complements them by abstracting cross-platform logic. Use the server to coordinate Operator actions via its API endpoints and AI-driven decision loops.

What's the recommended logging pipeline?

Redirect stdout logs to Fluentd or Loki during production deployment. Enable debug mode only for short troubleshooting windows due to increased verbosity.

Content

Untitled design \(10\)

Claude Kubernetes MCP Server

This repository contains the Claude Kubernetes MCP (Model Control Plane) server, built in Go. The server integrates with ArgoCD, GitLab, Claude AI, and Kubernetes to enable advanced control and automation of Kubernetes environments.

Table of Contents

  • Overview
  • Prerequisites
  • Setup Instructions
  • Configuration
  • Running Locally
  • Building and Running with Docker
  • Production Deployment
  • API Documentation
  • Postman Collection
  • License

Overview

This server is designed to orchestrate Kubernetes workloads using Claude AI, GitLab, ArgoCD, and Vault. It exposes a REST API that allows programmatic interaction with these systems, driven by a configured config.yaml and authenticated using an API key.

Prerequisites

  • Go 1.20+
  • Docker
  • Kubernetes cluster & valid ~/.kube/config
  • EKS cluster with AWS_PROFILE set locally
  • ArgoCD credentials
  • GitLab personal access token
  • Claude API key (Anthropic)
  • Vault credentials (optional, depending on use)

Setup Instructions

1. Clone the Repository

git clone https://github.com/blankcut/kubernetes-mcp-server.git
cd kubernetes-mcp-server

2. Export Required Environment Variables

Export credentials for ArgoCD, GitLab, and Claude:

export ARGOCD_USERNAME="argocd-username"
export ARGOCD_PASSWORD="argocd-password"
export GITLAB_TOKEN="gitlab-token"
export CLAUDE_API_KEY="claude-api-key"
export VAULT_TOKEN="optional-if-using-vault"

Ensure a kubeconfig is available:

export KUBECONFIG=~/.kube/config

3. Configure config.yaml

Update kubernetes-claude-mcp/config.yaml with credentials and server preferences:

server:
  address: ":8080"
  readTimeout: 30
  writeTimeout: 60
  auth:
    apiKey: ""${API_KEY}"" 

kubernetes:
  kubeconfig: ""
  inCluster: false
  defaultContext: ""
  defaultNamespace: "default"

argocd:
  url: "http://argocd.blankcut.com:30080"
  authToken: ""
  username: "${ARGOCD_USERNAME}"
  password: "${ARGOCD_PASSWORD}"
  insecure: true

gitlab:
  url: "https://gitlab.com"
  authToken: "${AUTH_TOKEN}"
  apiVersion: "v4"
  projectPath: ""${PROJECT_PATH}""

claude:
  apiKey: "${API_KEY}"
  baseURL: "https://api.anthropic.com"
  modelID: "claude-3-haiku-20240307"
  maxTokens: 4096
  temperature: 0.7

You can use the provided Go templates or environment variable interpolation method.

4. Add API Key for Postman

Please ensure a config.yaml includes an apiKey. This will be used to authenticate requests in Postman or any external client.


Running Locally

cd kubernetes-claude-mcp
go run ./cmd/server/main.go

With Debug Logging:

LOG_LEVEL=debug go run ./cmd/server/main.go --config config.yaml

Server will start and bind to the configured port in config.yaml (default: 8080).


Building and Running with Docker

1. Build the Image

cd kubernetes-claude-mcp
docker build -t claude-mcp-server -f Dockerfile .

2. Run the Container (second build option included)

cd kubernetes-claude-mcp
docker-compose build
docker-compose up -d

Production Deployment

A Helm chart is included in the repository for Kubernetes deployment:

1. Navigate to the Helm Chart Directory

cd kubernetes-claude-mcp/deployments/helm

2. Deploy with Helm

Update values.yaml with appropriate values and run:

helm install claude-mcp .

To upgrade:

helm upgrade claude-mcp .

Please ensure secrets and config maps are properly mounted and secured in the cluster.


API Documentation

Below are the primary endpoints exposed by the MCP server. All requests require the X-API-Key header:

General

  • Health Check
    • GET /api/v1/health

Kubernetes

  • List Namespaces
    • GET /api/v1/namespaces
  • List Resources
    • GET /api/v1/resources/{kind}?namespace={ns}
  • Get Specific Resource
    • GET /api/v1/resources/{kind}/{name}?namespace={ns}
  • Get Events for a Resource
    • GET /api/v1/events?namespace={ns}&resource={kind}&name={name}

ArgoCD

  • List Applications
    • GET /api/v1/argocd/applications

Claude MCP Endpoints

  • Analyze Resource
    • POST /api/v1/mcp/resource
  • Troubleshoot Resource
    • POST /api/v1/mcp/troubleshoot
  • Commit Analysis (GitLab)
    • POST /api/v1/mcp/commit
  • Generic MCP Request
    • POST /api/v1/mcp

All POST endpoints accept a JSON payload containing fields such as:

{
  "resource": "pod",
  "name": "example-pod",
  "namespace": "default",
  "query": "What’s wrong with this pod?"
}

Postman Collection

A ready-to-use Postman collection will be available soon.

Donation

Please contribute to our coffee fund to help us continue to do great things Buy Me Coffee

License

This project is licensed under the MIT License.


Contributing

Documentation will be expanded soon. If you’d like to contribute, feel free to open a pull request or file an issue!

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