gcp_build_run_trigger

Run a Cloud Build trigger manually

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-run-trigger.md

WHAT IT DOES

What gcp_build_run_trigger does on GCP MCP Server

AI agents invoke gcp_build_run_trigger 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_run_trigger is rated High

Cloud Build triggers orchestrate CI/CD pipelines that compile code, create artifacts, push to registries, and potentially deploy to production. Manually running a trigger is an Execute action because it invokes external operations (builds, tests, deployments) with side effects determined by the trigger's configuration.

From the tool's definition 'Run a Cloud Build trigger manually' — this tool executes a build trigger, initiating automated build/deployment pipelines whose effects (compilation, artifact creation, container pushes, deployments) depend on the trigger configuration and cannot be easily…

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gcp_build_run_trigger 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_run_trigger, this is the rule to start with:

gcp_build_run_trigger Rate-limited

gcp_build_run_trigger 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_run_trigger": {
      "limits": [
        {
          "counter": "gcp_build_run_trigger_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_run_trigger call is checked against it from then on.

FAQ

Questions about gcp_build_run_trigger

What does the gcp_build_run_trigger tool do? +

Run a Cloud Build trigger manually. 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_run_trigger? +

Register the GCP MCP Server MCP server in PolicyLayer and add a rule for gcp_build_run_trigger: 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_run_trigger? +

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

Can I rate-limit gcp_build_run_trigger? +

Yes. Add a rate_limit block to the gcp_build_run_trigger 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_run_trigger completely? +

Set action: deny in the PolicyLayer policy for gcp_build_run_trigger. 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_run_trigger? +

gcp_build_run_trigger 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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