gcp_build_create_build

Create and start a new Cloud Build build

SERVERGCP MCP Server SOURCEahmedselimmansor-ctrl/gcp_mcp_server

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/ahmedselimmansor-ctrl-gcp-mcp-server/gcp-build-create-build.md

WHAT IT DOES

What gcp_build_create_build does on GCP MCP Server

AI agents invoke gcp_build_create_build to trigger actions in GCP 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.

RISK

Why gcp_build_create_build is rated High

Cloud Build is a GCP service that compiles, tests, and deploys code. Creating and starting a build executes arbitrary build steps (defined in cloudbuild.yaml or equivalent) whose effects depend on the build configuration arguments. This is not merely data creation (Write) but code execution that can affect deployed services, modify infrastructure, or perform side effects.

From the tool's definition Tool name contains 'create_build' and description states 'Create and start a new Cloud Build build' — this initiates execution of a build pipeline which runs code/scripts and triggers external operations on GCP infrastructure.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gcp_build_create_build safely

PolicyLayer is an MCP gateway: it sits between your AI agents and GCP MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For gcp_build_create_build, this is the rule to start with:

gcp_build_create_build Rate-limited

gcp_build_create_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.

View as policy code

policy.json

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

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect GCP MCP Server, apply this rule, and every gcp_build_create_build call is checked against it from then on.

FAQ

Questions about gcp_build_create_build

What does the gcp_build_create_build tool do? +

Create and start a new Cloud Build build. It is categorised as a Execute tool in the GCP 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 gcp_build_create_build? +

Register the GCP MCP Server MCP server in PolicyLayer and add a rule for gcp_build_create_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 GCP MCP Server. Nothing to install.

What risk level is gcp_build_create_build? +

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

Can I rate-limit gcp_build_create_build? +

Yes. Add a rate_limit block to the gcp_build_create_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.

How do I block gcp_build_create_build completely? +

Set action: deny in the PolicyLayer policy for gcp_build_create_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.

What MCP server provides gcp_build_create_build? +

gcp_build_create_build is provided by the GCP MCP Server MCP server (ahmedselimmansor-ctrl/gcp_mcp_server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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