registry/deploy/README.md

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# 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](https://www.pulumi.com/docs/iac/download-install/)
- Access to a Kubernetes cluster via kubeconfig. You can run a cluster locally with [minikube](https://minikube.sigs.k8s.io/docs/start/).
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. Run this again if the first attempt fails.
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:
```bash
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](../.github/workflows/deploy.yml). The steps below are preserved as a log of what we did, or if a manual override is needed.
Pre-requisites:
- [Pulumi CLI installed](https://www.pulumi.com/docs/iac/download-install/)
- 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:
```bash
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 iam service-accounts add-iam-policy-binding $(gcloud projects describe mcp-registry-prod --format="value(projectNumber)")-compute@developer.gserviceaccount.com --member="serviceAccount:pulumi-svc@mcp-registry-prod.iam.gserviceaccount.com" --role="roles/iam.serviceAccountUser"
gcloud iam service-accounts keys create sa-key.json --iam-account=pulumi-svc@mcp-registry-prod.iam.gserviceaccount.com
```
5. Create a GCS bucket for Pulumi state: `gsutil mb gs://mcp-registry-prod-pulumi-state`
6. Set Pulumi's backend to GCS: `pulumi login gs://mcp-registry-prod-pulumi-state`
7. Get the passphrase file `passphrase.prod.txt` from the registry maintainers
8. Init the GCP stack: `PULUMI_CONFIG_PASSPHRASE_FILE=passphrase.prod.txt pulumi stack init gcpProd`
9. Set the GCP credentials in Pulumi config:
```bash
# Base64 encode the service account key and set it
pulumi config set --secret gcp:credentials "$(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.
<!--
### Production Deployment (Azure)
**Note:** This is how the production deployment will be set up once. But then the plan will be future updates are effectively a login + `pulumi up` from GitHub Actions.
Pre-requisites:
- [Pulumi CLI installed](https://www.pulumi.com/docs/iac/download-install/)
- A Microsoft Azure account
- [Azure CLI](https://learn.microsoft.com/en-gb/cli/azure/get-started-with-azure-cli) installed
1. Login to Azure: `az login`
2. Create a resource group: `az group create --name official-mcp-registry-prod --location eastus`
3. Add the storage resource provider: `az provider register --namespace Microsoft.Storage`
4. Create a storage account: `az storage account create --name officialmcpregistryprod --resource-group official-mcp-registry-prod --location eastus --sku Standard_LRS`
5. Add the 'Storage Blob Data Contributor' role assignment for yourself on the storage account: `az role assignment create --assignee $(az ad signed-in-user show --query id -o tsv) --role "Storage Blob Data Contributor" --scope "/subscriptions/$(az account show --query id -o tsv)/resourceGroups/official-mcp-registry-prod"`
6. Create a container: `az storage container create --name pulumi-state --account-name officialmcpregistryprod`
7. Set Pulumi's backend to Azure: `pulumi login 'azblob://pulumi-state?storage_account=officialmcpregistryprod'`
8. Init the production stack: `pulumi stack init aksProd`
- TODO: This has a password that maybe needs to be shared with select contributors?
9. Deploy: `go build && PULUMI_CONFIG_PASSPHRASE="" pulumi up --yes`
10. Access the repository via the ingress load balancer. You can find its external IP with `kubectl get svc ingress-nginx-controller -n ingress-nginx` or view it in the Pulumi outputs. 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
│ ├── cert_manager.go # SSL certificate management
│ ├── deploy.go # Deployment orchestration
│ ├── ingress.go # Ingress controller setup
│ ├── mongodb.go # MongoDB 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
- MongoDB for data persistence
- 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 |
## Troubleshooting
### Check Status
```bash
kubectl get pods
kubectl get deployment
kubectl get svc
kubectl get ingress
kubectl get svc -n ingress-nginx
```
### View Logs
```bash
kubectl logs -l app=mcp-registry
kubectl logs -l app=mongodb
```