Start here if a user wants to run their application locally or deploy an app to the cloud. Provides guidance for containerizing a web application. This tool provides guidance on how to build Docker images for web applications, including recommendations for base images, build tools, and architect...
Part of the Amazon ECS MCP Server MCP server. Enforce policies on this tool with Intercept, the open-source MCP proxy.
AI agents invoke containerize_app to trigger processes or run actions in Amazon ECS MCP Server. Execute operations can have side effects beyond the immediate call -- triggering builds, sending notifications, or starting workflows. Rate limits and argument validation are essential to prevent runaway execution.
containerize_app can trigger processes with real-world consequences. An uncontrolled agent might start dozens of builds, send mass notifications, or kick off expensive compute jobs. Intercept enforces rate limits and validates arguments to keep execution within safe bounds.
Execute tools trigger processes. Rate-limit and validate arguments to prevent unintended side effects.
tools:
containerize_app:
rules:
- action: allow
rate_limit:
max: 10
window: 60
validate:
required_args: trueSee the full Amazon ECS MCP Server policy for all 10 tools.
Agents calling execute-class tools like containerize_app have been implicated in these attack patterns. Read the full case and prevention policy for each:
Other tools in the Execute risk category across the catalogue. The same policy patterns (rate-limit, validate) apply to each.
containerize_app is one of the high-risk operations in Amazon ECS MCP Server. For the full severity-focused view — only the high-risk tools with their recommended policies — see the breakdown for this server, or browse all high-risk tools across every MCP server.
Start here if a user wants to run their application locally or deploy an app to the cloud. Provides guidance for containerizing a web application. This tool provides guidance on how to build Docker images for web applications, including recommendations for base images, build tools, and architecture choices. USAGE INSTRUCTIONS: 1. Run this tool to get guidance on how to configure your application for ECS. 2. Follow the steps generated from the tool. 3. Proceed to create_ecs_infrastructure tool. The guidance includes: - Example Dockerfile content - Example docker-compose.yml content - Build commands for different container tools - Architecture recommendations - Troubleshooting tips Parameters: app_path: Path to the web application directory port: Port the application listens on Returns: Dictionary containing containerization guidance. It is categorised as a Execute tool in the Amazon ECS MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Add a rule in your Intercept YAML policy under the tools section for containerize_app. You can allow, deny, rate-limit, or validate arguments. Then run Intercept as a proxy in front of the Amazon ECS MCP Server MCP server.
containerize_app is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the containerize_app rule in your Intercept policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the Intercept policy for containerize_app. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
containerize_app is provided by the Amazon ECS MCP Server MCP server (awslabs.ecs-mcp-server). Intercept sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic policy on every MCP tool call. Per-identity grants. Full audit log.