build_and_push_image_to_ecr

THE RISK

High Risk

Why build_and_push_image_to_ecr needs a policy

Building and pushing container images to a registry is an Execute-class operation because it triggers external operations (Docker build, image push to AWS ECR) whose effects depend on the image source and registry configuration. The blast radius is high: a malicious agent could build and deploy arbitrary container images that corrupt or compromise systems relying on that ECR repository.

From the tool's definition Tool name 'build_and_push_image_to_ecr' directly implies building a Docker image and pushing it to Amazon EC2 Container Registry. The description is empty, providing no additional context.

Documented attack patterns abuse exactly the kind of access build_and_push_image_to_ecr gives an agent:

POLICY

How to control build_and_push_image_to_ecr

PolicyLayer is an MCP gateway — it sits between your AI agents and AWS Labs CloudTrail MCP Server, and nothing reaches the server without passing your rules. This is the rule we recommend for build_and_push_image_to_ecr:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "build_and_push_image_to_ecr": {
      "limits": [
        {
          "counter": "build_and_push_image_to_ecr_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

build_and_push_image_to_ecr stays usable, but rate-capped — a runaway agent can't fire it dozens of times a minute. Everything else on the server is denied unless you say otherwise.

Create a free account and register AWS Labs CloudTrail MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

RATE-LIMIT THIS TOOL →

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EXPLORE

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Govern code and CI agents → Branch allowlists, approval on merges, and rate caps on the build and pipeline tools agents trigger.
High-risk tools in AWS Labs CloudTrail MCP Server → Every high-risk tool this server exposes, in one view.
All high-risk MCP tools → Every high-risk tool across the catalogue, and the policy pattern that contains them.
The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
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Rate Limiting MCP Tool Calls: A Practical Guide →
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PolicyLayer vs alternatives → How deterministic, per-call MCP policy compares with gateways, identity layers, and authorisation platforms.

FAQ

Questions about build_and_push_image_to_ecr

What does the build_and_push_image_to_ecr tool do? +

build_and_push_image_to_ecr. It is categorised as a Execute tool in the AWS Labs CloudTrail MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on build_and_push_image_to_ecr? +

Register the AWS Labs CloudTrail MCP Server MCP server in PolicyLayer and add a rule for build_and_push_image_to_ecr: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches AWS Labs CloudTrail MCP Server. Nothing to install.

What risk level is build_and_push_image_to_ecr? +

build_and_push_image_to_ecr is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.

Can I rate-limit build_and_push_image_to_ecr? +

Yes. Add a rate_limit block to the build_and_push_image_to_ecr rule in your PolicyLayer 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.

How do I block build_and_push_image_to_ecr completely? +

Set action: deny in the PolicyLayer policy for build_and_push_image_to_ecr. 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.

What MCP server provides build_and_push_image_to_ecr? +

build_and_push_image_to_ecr is provided by the AWS Labs CloudTrail MCP Server MCP server (awslabs.cloudtrail-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every AWS Labs CloudTrail MCP Server tool call.

Start from AWS Labs CloudTrail MCP Server, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

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