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

Variable	Default	Description
MCP_HOST	localhost	Server host
MCP_PORT	8080	Server port
MCP_DEBUG	false	Enable debug mode
MCP_LOG_LEVEL	INFO	Logging level
MCP_DEFAULT_NAMESPACE	default	K8s namespace
AWS_PROFILE	default	AWS profile
GCP_PROJECT	-	GCP project ID

Documentation

• Tool Reference
• Architecture
• Contributing

Testing

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