Quick Start Guide
Quick Start¶
Watch the video walkthrough
Check out this quick start on YouTube or watch below.
Using Docker Compose (Recommended)¶
Prerequisites¶
A Docker-compatible container runtime such as:
- Docker Desktop (Windows / macOS)
- Podman Desktop or Podman (Windows / macOS / Linux)
- Rancher Desktop (Windows / macOS)
- Colima (macOS)
- Docker Engine + Compose plugin (Linux)
These examples use docker compose. If you use another Compose-compatible runtime, use the equivalent commands.
Verify the commands for your runtime are available. For Docker:
# Download distribution.
wget https://github.com/wso2/api-platform/releases/download/ai-gateway/v1.2.0/wso2apip-ai-gateway-1.2.0.zip
# Unzip the downloaded distribution.
unzip wso2apip-ai-gateway-1.2.0.zip
cd wso2apip-ai-gateway-1.2.0/
# Run the one-time setup. This provisions the AES-256 at-rest encryption key, the router HTTPS
# listener certificate, api-platform.env, and the gateway-controller admin credentials. It prints
# the admin password once — copy it.
./scripts/setup.sh
# Export the admin credentials so the management-API calls below can authenticate.
# The username defaults to "admin"; use the password setup.sh just printed.
export ADMIN_USERNAME=admin
export ADMIN_PASSWORD='<the password scripts/setup.sh printed>'
# Start the complete stack
docker compose -p ai-gateway up -d
# Verify gateway controller admin endpoint is running
curl http://localhost:9094/api/admin/v1/health
Port 8080, 8443, 9090, or 9094 already taken?
If the start command fails with a port binding error, identify what is already listening on the default ports:
On macOS or Linux, run:
```bash
lsof -nP -iTCP:8080 -sTCP:LISTEN
lsof -nP -iTCP:8443 -sTCP:LISTEN
lsof -nP -iTCP:9090 -sTCP:LISTEN
lsof -nP -iTCP:9094 -sTCP:LISTEN
```
On Windows PowerShell, run:
Get-NetTCPConnection -State Listen -LocalPort 8080,8443,9090,9094 | Select-Object LocalAddress, LocalPort, OwningProcess
Stop the conflicting service if you don't need it. If you need to keep it running, change the host-side value of the relevant `ports:` mapping in `docker-compose.yaml`. Then use the remapped host port in the verification and test commands on this page.
Running on Windows
The commands above assume a Linux/macOS shell. On Windows, run the one-time setup with the PowerShell script instead — it takes the same flags and provisions the same files:
Then set the admin credentials with $env:ADMIN_USERNAME='admin' and $env:ADMIN_PASSWORD='<the password setup.ps1 printed>' in place of the export lines.
The remaining curl commands on this page pipe their YAML payload in through a shell heredoc (--data-binary @- <<'EOF'), which PowerShell does not support. Either run them from Git Bash or WSL, or save the YAML between EOF markers to a file and post that file explicitly — note the .exe, since curl is an alias for Invoke-WebRequest in Windows PowerShell:
Deploy an MCP proxy configuration¶
Start the sample MCP server
docker run -p 3001:3001 --name everything --network ai-gateway_gateway-network rakhitharr/mcp-everything:v3
Run the following command to deploy the MCP proxy.
curl -X POST http://localhost:9090/api/management/v1/mcp-proxies \
-H "Content-Type: application/yaml" \
-u "$ADMIN_USERNAME:$ADMIN_PASSWORD" \
--data-binary @- <<'EOF'
apiVersion: gateway.api-platform.wso2.com/v1
kind: Mcp
metadata:
name: everything-mcp-v1.0
annotations:
"gateway.api-platform.wso2.com/project-id": "default"
spec:
displayName: Everything
version: v1.0
context: /everything
specVersion: "2025-06-18"
upstream:
url: http://everything:3001
tools: []
resources: []
prompts: []
EOF
View the MCP proxy in AI Workspace¶
The gateway syncs the artifacts you deploy on it up to AI Workspace, the control plane for AI traffic across your organization. The everything-mcp-v1.0 proxy you deployed above appears there without being re-declared, in the default project named in its project-id annotation. See Manage Gateway-deployed AI artifacts in AI Workspace.
Stopping the Gateway¶
Stop and remove the MCP backend first.
When stopping the gateway, you have two options:
Option 1: Stop runtime, keep data (persisted proxies and configuration)¶
This stops the containers but preserves the controller-data volume. When you restart with docker compose -p ai-gateway up, all your API configurations will be restored.
Option 2: Complete shutdown with data cleanup (fresh start)¶
This stops containers and removes thecontroller-data volume. Next startup will be a clean slate with no persisted proxies or configuration.