registry/deploy

MCP Registry Kubernetes Deployment

This directory contains Pulumi infrastructure code to deploy the MCP Registry service to a Kubernetes cluster. It supports deploying the infrastructure locally (using an existing kubeconfig, e.g. with minikube) or to Google Cloud Platform (GCP).

Quick Start

Local Development

Pre-requisites:

• Pulumi CLI installed
• Access to a Kubernetes cluster via kubeconfig. You can run a cluster locally with minikube.

1. Ensure your kubeconfig is configured at the cluster you want to use. For minikube, run minikube start && minikube tunnel.
2. Run make local-up to deploy the stack.
3. Access the repository via the ingress load balancer. You can find its external IP with kubectl get svc ingress-nginx-controller -n ingress-nginx. Then run curl -H "Host: local.registry.modelcontextprotocol.io" -k https://<EXTERNAL-IP>/v0/ping to check that the service is up.

To change config

The stack is configured out of the box for local development. But if you want to make changes, run commands like:

PULUMI_CONFIG_PASSPHRASE="" pulumi config set mcp-registry:environment local
PULUMI_CONFIG_PASSPHRASE="" pulumi config set mcp-registry:githubClientSecret --secret <some-secret-value>

To delete the stack

make local-destroy and deleting the cluster (with minikube: minikube delete) will reset you back to a clean state.

Production Deployment (GCP)

Note: The production deployment is automatically handled by GitHub Actions. All merges to the main branch trigger an automatic deployment to GCP via the configured GitHub Actions workflow. The steps below are preserved as a log of what we did, or if a manual override is needed.

Pre-requisites:

• Pulumi CLI installed
• A Google Cloud Platform (GCP) account
• A GCP Service Account with appropriate permissions

1. Create a project: gcloud projects create mcp-registry-prod
2. Set the project: gcloud config set project mcp-registry-prod
3. Enable required APIs: gcloud services enable storage.googleapis.com && gcloud services enable container.googleapis.com
4. Create a service account with necessary permissions, and get the key:

   gcloud iam service-accounts create pulumi-svc
   sleep 10
   gcloud projects add-iam-policy-binding mcp-registry-prod --member="serviceAccount:pulumi-svc@mcp-registry-prod.iam.gserviceaccount.com" --role="roles/container.admin"
   gcloud projects add-iam-policy-binding mcp-registry-prod --member="serviceAccount:pulumi-svc@mcp-registry-prod.iam.gserviceaccount.com" --role="roles/compute.admin"
   gcloud projects add-iam-policy-binding mcp-registry-prod --member="serviceAccount:pulumi-svc@mcp-registry-prod.iam.gserviceaccount.com" --role="roles/storage.admin"
   gcloud projects add-iam-policy-binding mcp-registry-prod --member="serviceAccount:pulumi-svc@mcp-registry-prod.iam.gserviceaccount.com" --role="roles/storage.hmacKeyAdmin"
   gcloud iam service-accounts add-iam-policy-binding $(gcloud projects describe mcp-registry-prod --format="value(projectNumber)")-compute@developer.gserviceaccount.com --member="serviceAccount:pulumi-svc@mcp-registry-prod.iam.gserviceaccount.com" --role="roles/iam.serviceAccountUser"
   gcloud iam service-accounts keys create sa-key.json --iam-account=pulumi-svc@mcp-registry-prod.iam.gserviceaccount.com
   

5. Create a GCS bucket for Pulumi state: gsutil mb gs://mcp-registry-prod-pulumi-state
6. Set Pulumi's backend to GCS: pulumi login gs://mcp-registry-prod-pulumi-state
7. Get the passphrase file passphrase.prod.txt from the registry maintainers
8. Init the GCP stack: PULUMI_CONFIG_PASSPHRASE_FILE=passphrase.prod.txt pulumi stack init gcpProd
9. Set the GCP credentials in Pulumi config:

   # Base64 encode the service account key and set it
   pulumi config set --secret gcp:credentials "$(base64 < sa-key.json)"
   

10. Deploy: make prod-up
11. Access the repository via the ingress load balancer. You can find its external IP with: kubectl get svc ingress-nginx-controller -n ingress-nginx. Then run curl -H "Host: prod.registry.modelcontextprotocol.io" -k https://<EXTERNAL-IP>/v0/ping to check that the service is up.

Structure

├── main.go              # Pulumi program entry point
├── Pulumi.yaml          # Project configuration
├── Pulumi.local.yaml    # Local stack configuration
├── Pulumi.prod.yaml     # Production stack configuration (Azure)
├── Pulumi.gcp.yaml      # Production stack configuration (GCP)
├── Makefile             # Build and deployment targets
├── go.mod               # Go module dependencies
├── go.sum               # Go module checksums
└── pkg/                 # Infrastructure packages
    ├── k8s/             # Kubernetes deployment components
    │   ├── backup.go          # Database backup configuration
    │   ├── cert_manager.go    # SSL certificate management
    │   ├── deploy.go          # Deployment orchestration
    │   ├── ingress.go         # Ingress controller setup
    │   ├── postgres.go        # PostgreSQL database deployment
    │   └── registry.go        # MCP Registry deployment
    └── providers/       # Kubernetes cluster providers
        ├── types.go           # Provider interface definitions
        ├── aks/               # Azure Kubernetes Service provider
        ├── gcp/               # Google Kubernetes Engine provider
        └── local/             # Local kubeconfig provider

Architecture Overview

Deployment Flow

1. Pulumi program starts in main.go
2. Configuration is loaded from Pulumi config files
3. Provider factory creates appropriate cluster provider (AKS or local)
4. Cluster provider sets up Kubernetes access
5. k8s.DeployAll() orchestrates complete deployment:
   • Certificate manager for SSL/TLS
   • Ingress controller for external access
   • Database for data persistence
   • Backup infrastructure for database
   • MCP Registry application

Configuration

Parameter	Description	Required
environment	Deployment environment (dev/prod)	Yes
provider	Kubernetes provider (local/aks/gcp)	No (default: local)
githubClientId	GitHub OAuth Client ID	Yes
githubClientSecret	GitHub OAuth Client Secret	Yes
gcpProjectId	GCP Project ID (required when provider=gcp)	No
gcpRegion	GCP Region (default: us-central1)	No

Database Backups

The deployment uses K8up (a Kubernetes backup operator) that uses Restic under the hood.

When running locally they are stored in a Minio bucket. In staging and production, backups are stored in a GCS bucket.

Accessing Backup Files

Local Development (MinIO)

# Expose MinIO web console
kubectl port-forward -n minio svc/minio 9000:9000 9001:9001

Then open localhost:9001, login with username minioadmin and password minioadmin, and navigate to the k8up-backups bucket.

Staging and Production (GCS)

• Staging
• Production

Decrypting and Restoring Backups

Backups are encrypted using Restic. To access the backup data:

1. Download the backup files from the bucket:

   # Local (MinIO) - ensure port-forward is active: kubectl port-forward -n minio svc/minio 9000:9000 9001:9001
   AWS_ACCESS_KEY_ID=minioadmin AWS_SECRET_ACCESS_KEY=minioadmin \
     aws --endpoint-url http://localhost:9000 s3 sync s3://k8up-backups/ ./backup-files/
   
   # GCS (staging/production)
   gsutil -m cp -r gs://mcp-registry-{staging|prod}-backups/* ./backup-files/
   

2. Install Restic
3. Restore the backup:

   RESTIC_PASSWORD=password restic -r ./backup-files restore latest --target ./restored-files
   

   PostgreSQL data will be in ./restored-files/data/registry-pg-1/pgdata/

Troubleshooting

Check Status

kubectl get pods
kubectl get deployment
kubectl get svc
kubectl get ingress
kubectl get svc -n ingress-nginx

View Logs

kubectl logs -l app=mcp-registry
kubectl logs -l app=postgres

Check Backup Status

kubectl describe schedule.k8up.io 
kubectl get backup