compose-for-agents/adk-sock-shop/compose.yaml at main · docker/compose-for-agents · GitHub

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services:

  # Sock Store
  #
  front-end:
    image: weaveworksdemos/front-end:0.3.12
    hostname: front-end
    ports:
      - 9090:8079
    restart: always
    cap_drop:
      - all
    read_only: true
  catalogue:
    image: roberthouse224/catalogue:amd
    hostname: catalogue
    restart: always
    cap_drop:
      - all
    cap_add:
      - NET_BIND_SERVICE
    read_only: true
    ports:
      - 8081:80
    depends_on:
      - catalogue-db
  catalogue-db:
    image: weaveworksdemos/catalogue-db:0.3.0
    hostname: catalogue-db
    restart: always
    environment:
      - MYSQL_ROOT_PASSWORD=${MYSQL_ROOT_PASSWORD}
      - MYSQL_ALLOW_EMPTY_PASSWORD=true
      - MYSQL_DATABASE=socksdb

  # Customer Review Database

  mongodb:
    image: mongo:latest
    ports:
      - 27017:27017
    environment:
      - MONGO_INITDB_ROOT_USERNAME=admin
      - MONGO_INITDB_ROOT_PASSWORD=password
      - MONGO_INITDB_DATABASE=sockstore
    volumes:
      - ./data/mongodb:/docker-entrypoint-initdb.d:ro
      - mongodb_data:/data/db
    command: [mongod, --quiet, --logpath, /var/log/mongodb/mongod.log, --logappend, --setParameter, "logComponentVerbosity={network:{verbosity:0}}"]
    healthcheck:
      test: [CMD, mongosh, --eval, db.adminCommand('ping')]
      interval: 10s
      timeout: 5s
      retries: 5

  # Agent

  adk-ui:
    build:
      context: .
      dockerfile: Dockerfile.adk-ui
    ports:
      - 3000:3000
    environment:
      - API_BASE_URL=http://adk:8000
    depends_on:
      - adk

  adk:
    build:
      context: .
    ports:
      # expose port for web interface
      - 8000:8000
    environment:
      # point adk at the MCP gateway
      - MCPGATEWAY_ENDPOINT=http://mcp-gateway:8811/sse
      - CATALOGUE_URL=http://catalogue:8081
      - OPENAI_BASE_URL=https://api.openai.com/v1
      - AI_DEFAULT_MODEL=openai/gpt-4
      # - OPENAI_MODEL_NAME=gpt4
    depends_on:
      - mcp-gateway
    secrets:
      - openai-api-key
    models:
      qwen3:
        endpoint_var: MODEL_RUNNER_URL
        model_var: MODEL_RUNNER_MODEL

  mcp-gateway:
    # mcp-gateway secures your MCP servers
    image: docker/mcp-gateway:latest
    ports:
      - 8811:8811
    use_api_socket: true
    command:
      - --transport=sse
      - --servers=fetch,brave,resend,curl,mongodb
      - --config=/mcp_config
      - --secrets=docker-desktop:/run/secrets/mcp_secret
      - --verbose
    configs:
      - mcp_config
    secrets:
      - mcp_secret
    depends_on:
      - mongodb

models:
  qwen3:
    # pre-pull the model when starting Docker Model Runner
    model: ai/qwen3:14B-Q6_K
    # context_size: 131000  # 35.5 GB VRAM

volumes:
  mongodb_data:

configs:
  mcp_config:
    content: |
      resend:
        reply_to: [email protected]
        sender: [email protected]

secrets:
  openai-api-key:
    file: secret.openai-api-key
  mcp_secret:
    file: ./.mcp.env