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securityF
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qualityProvides a scalable, containerized infrastructure for deploying and managing Model Context Protocol servers with monitoring, high availability, and secure configurations.
Last updated -
Provides containerization capabilities for the MCP server, allowing for consistent deployment across environments using Docker images.
Enables deployment and management of the MCP server on Kubernetes clusters, with support for scaling, health checks, and configuration management through Kubernetes resources.
Supports running the MCP server on Node.js runtime environments, allowing developers to build and extend MCP functionality using Node.js ecosystem.
Enables development of the MCP server using TypeScript, providing type safety and modern JavaScript features for server implementation.
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
Deployment Steps
- Build the Docker image:
- Push the image to Azure Container Registry (ACR):
- Apply Kubernetes manifests:
- Verify deployment:
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:
This server cannot be installed
remote-capable server
The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.
A Kubernetes-deployed server for the Model Context Protocol that enables secure communication with configurable environment variables, health monitoring, and scalable deployment on Azure Kubernetes Service.
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