adrianozagallo home mcp server

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mcp-server

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Model Context Protocol (MCP) Server

This repository contains the Kubernetes deployment configuration for the MCP server on Azure Kubernetes Service (AKS).

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 .
  1. 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
  1. Apply Kubernetes manifests:
kubectl apply -f k8s/
  1. Verify deployment:
kubectl get pods
kubectl get services

Configuration

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

Health Checks

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

Monitoring

  • Resource usage can be monitored through Azure Monitor
  • Application logs are available through 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 for security headers

Scaling

The deployment is configured with 3 replicas by default. You can scale up or down using:

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

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Frequently Asked Questions

What is MCP?

MCP (Model Context Protocol) is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications, providing a standardized way to connect AI models to different data sources and tools.

What are MCP Servers?

MCP Servers are lightweight programs that expose specific capabilities through the standardized Model Context Protocol. They act as bridges between LLMs like Claude and various data sources or services, allowing secure access to files, databases, APIs, and other resources.

How do MCP Servers work?

MCP Servers follow a client-server architecture where a host application (like Claude Desktop) connects to multiple servers. Each server provides specific functionality through standardized endpoints and protocols, enabling Claude to access data and perform actions through the standardized protocol.

Are MCP Servers secure?

Yes, MCP Servers are designed with security in mind. They run locally with explicit configuration and permissions, require user approval for actions, and include built-in security features to prevent unauthorized access and ensure data privacy.

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