Start a stopped container
AI agents invoke docker_container_start to trigger actions in Docker MCP. What it does depends on the arguments the agent supplies, and its effects often reach beyond the immediate call — builds kicked off, notifications sent, workflows started.
This tool executes container startup, which runs pre-configured code in the container environment. While not destructive (reversible via stop), it can trigger side effects depending on container configuration (e.g., starting a container with malicious or unintended payloads, resource exhaustion, or network operations). The blast radius is significant in multi-container or production environments.
From the tool's definition Tool directly triggers external operations: 'Start a stopped container' - initiates state changes in Docker containers and can trigger arbitrary container code execution.
Attacks that exploit this kind of access
Start a stopped container. It is categorised as a Execute tool in the Docker MCP MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Docker MCP server in PolicyLayer and add a rule for docker_container_start: 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 Docker MCP. Nothing to install.
docker_container_start 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 docker_container_start 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.
Set action: deny in the PolicyLayer policy for docker_container_start. 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.
docker_container_start is provided by the Docker MCP server (sondt2709/docker-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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