docker_build
Build a Docker image from a Dockerfile
This record as markdown: /tools/agentics-ai-code-mcp/docker-build.md
What docker_build does on Code MCP Server
AI agents invoke docker_build to trigger actions in Code MCP Server. 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.
Why docker_build is rated High
Docker image building is code execution—it runs instructions defined in a Dockerfile that could include shell commands, package installations, and arbitrary operations. While the blast radius is contained to a single image build (not system-wide), the tool can execute potentially harmful commands embedded in a Dockerfile and consume system resources. This justifies 'Execute' rather than lower categories.
From the tool's definition Tool description states: 'Build a Docker image from a Dockerfile'. Building a Docker image executes the Dockerfile instructions, which can run arbitrary code within a container context. The server description also confirms 'Docker integration' capabilities.
Attacks that exploit this kind of access
The rule that runs docker_build safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Code MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For docker_build, this is the rule to start with:
docker_build 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.
The button opens the PolicyLayer dashboard: create your workspace, connect Code MCP Server, apply this rule, and every docker_build call is checked against it from then on.
Questions about docker_build
Build a Docker image from a Dockerfile. It is categorised as a Execute tool in the Code MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Code MCP Server MCP server in PolicyLayer and add a rule for docker_build: 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 Code MCP Server. Nothing to install.
docker_build 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_build 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_build. 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_build is provided by the Code MCP Server MCP server (agentics-ai/code-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Code MCP Server, and thousands of servers like it.
Across the catalogue