MCP DevOps Server

A Model Context Protocol (MCP) server that provides AI assistants with DevOps tools for Kubernetes, cloud providers, CI/CD, security scanning, and infrastructure management.

Features

• Kubernetes: Pod management, deployments, logs, troubleshooting

• Helm: Chart management, release history, template rendering

• ArgoCD: Application sync, diff, and status monitoring

• AWS: EC2, ECS, S3, Cost Explorer, Secrets Manager

• Azure: AKS, WebApps, ACR, Key Vault

• GCP: GKE, Cloud Run, Cloud Logging

• Security: Trivy scanning, K8s security audit

• Observability: Log analysis, DNS lookup, SSL checks, endpoint monitoring

• Git: Repository stats, change tracking, commit search

• Cost: Cloud spend analysis and forecasting

Quick Start

# Install dependencies
pip install -r requirements.txt

# Run the server
python -m src.server

# Or with Docker
docker build -t mcp-devops-server .
docker run -v ~/.kube:/home/mcp/.kube:ro mcp-devops-server

VS Code Integration

Add to .vscode/settings.json:

{
  "mcp": {
    "servers": {
      "devops": {
        "command": "python",
        "args": ["-m", "src.server"],
        "cwd": "${workspaceFolder}",
        "env": {
          "KUBECONFIG": "${env:HOME}/.kube/config",
          "AWS_PROFILE": "default"
        }
      }
    }
  }
}

Configuration

Documentation

• Tool Reference

• Architecture

• Contributing

Testing

pip install -r requirements-dev.txt
pytest tests/ -v --cov=src