# OpenAI
export OPENAI_API_KEY="sk-..."

# Google Gemini
export GEMINI_API_KEY="..."

# Anthropic (pay-per-token billing)
export ANTHROPIC_API_KEY="sk-ant-api03-..."

docker run \
  -e OPENAI_API_KEY=$OPENAI_API_KEY \
  -e STN_AI_PROVIDER=openai \
  ghcr.io/cloudshipai/station:latest

stn auth login

Using config file: /home/user/.config/station/config.yaml
🔭 OTEL telemetry enabled - provider=jaeger, endpoint=http://localhost:4318
Enter your CloudShip API key: ▌

# config.yaml
cloudship:
  enabled: true
  registration_key: "sk-reg-..."
  name: "my-station"
  tags: ["production", "us-east-1"]

stn serve
# Output: Successfully registered with CloudShip management channel

stn auth status

CloudShip Connection:
  ✅ Connected to CloudShip
  Organization: My Company
  Station: production-us-east
  Last sync: 2 minutes ago

AI Provider:
  ✅ Authenticated with OpenAI (API Key)
  Model: gpt-5-mini

# Logout from CloudShip
stn auth logout

# config.yaml
cloudship:
  enabled: true
  registration_key: "your-key"
  name: "my-station"
  oauth:
    enabled: true
    client_id: "your-oauth-client-id"  # From CloudShip OAuth Apps

MCP Client                    Station                      CloudShip
    |                           |                             |
    |------ POST /mcp --------->|                             |
    |<----- 401 Unauthorized ---|                             |
    |                           |                             |
    |------- [Browser Login] -------------------------------->|
    |<------ [Access Token] ----------------------------------|
    |                           |                             |
    |------ POST /mcp --------->|                             |
    |  Authorization: Bearer    |------ Validate Token ------>|
    |                           |<------ {active: true} ------|
    |<----- MCP Response -------|                             |

{
  "mcpServers": {
    "my-station": {
      "url": "https://my-station.example.com:8587/mcp"
    }
  }
}