Model Context Protocol (mcp) Server Ldg

🚀 Model Context Protocol (MCP) Server

This repository contains the Kubernetes deployment configuration for deploying the MCP server on Azure Kubernetes Service (AKS). It provides a reliable and scalable solution for running the MCP server in a cloud - native environment.

🚀 Quick Start

Prerequisites

• Azure CLI
• kubectl
• Docker
• Node.js 18+

Project Structure

.
├── k8s/
│   ├── deployment.yaml    # Kubernetes deployment configuration
│   ├── service.yaml      # Kubernetes service configuration
│   └── configmap.yaml    # Kubernetes ConfigMap for environment variables
├── src/                  # Source code directory
├── Dockerfile           # Container build configuration
├── package.json         # Node.js dependencies
└── tsconfig.json        # TypeScript configuration

Deployment Steps

1. Build the Docker image:

docker build -t mcp-server:latest .

2. Push the image to Azure Container Registry (ACR):

az acr login --name <your-acr-name>
docker tag mcp-server:latest <your-acr-name>.azurecr.io/mcp-server:latest
docker push <your-acr-name>.azurecr.io/mcp-server:latest

3. Apply the Kubernetes manifests:

kubectl apply -f k8s/

4. Verify the deployment:

kubectl get pods
kubectl get services

📚 Documentation

Configuration

The application can be configured through environment variables defined in the ConfigMap (k8s/configmap.yaml).

Health Check

The application exposes a /health endpoint for Kubernetes health checks.

Monitoring

• Resource usage can be monitored through Azure Monitor.
• Application logs can be viewed via kubectl logs.

Security

• The application uses HTTPS.
• CORS is configured for secure cross - origin requests.
• Rate limiting is implemented to prevent abuse.
• Helmet.js is used to add headers for security.

Scaling

By default, the deployment is configured with 3 replicas. You can scale it using the following command:

kubectl scale deployment mcp-server --replicas=<number>