Model Context Protocol (MCP) Server

What is Model Context Protocol (MCP) Server?

This repository contains the Kubernetes deployment configuration for the MCP server on Azure Kubernetes Service (AKS). It provides a containerized implementation of the Model Context Protocol, deployable using Docker and Azure Container Registry.

How to use Model Context Protocol (MCP) Server?

Build the Docker image, push it to your Azure Container Registry, then apply the Kubernetes manifests (k8s/) to deploy. Configure the server through environment variables defined in the ConfigMap. Verify with kubectl get pods and kubectl get services.

Key features of Model Context Protocol (MCP) Server

• Exposes a /health endpoint for Kubernetes health checks.
• Supports scaling with 3 default replicas.
• Uses HTTPS, CORS, and Helmet.js for security.
• Rate limiting is implemented to prevent abuse.
• Monitored via Azure Monitor and kubectl logs.
• Runs on Node.js 18+ with TypeScript source code.

Use cases of Model Context Protocol (MCP) Server

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FAQ from Model Context Protocol (MCP) Server

What are the prerequisites to deploy?

Azure CLI, kubectl, Docker, and Node.js 18+ are required.

How do I scale the deployment?

Run kubectl scale deployment mcp-server --replicas=<number> to adjust the replica count from the default of 3.

How is the application secured?

The application uses HTTPS, CORS for secure cross-origin requests, Helmet.js for security headers, and enforces rate limiting.

Where can I view logs and monitor resources?

Application logs are available via kubectl logs. Resource usage can be monitored through Azure Monitor.

How is the application configured?

Configuration is managed through environment variables defined in the Kubernetes ConfigMap (k8s/configmap.yaml).