gitlab_trigger_pipeline

Trigger a GitLab CI/CD pipeline on a branch.

SERVERGitlab SOURCEdkeeno/gitlab-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/dkeeno-gitlab-mcp-server/gitlab-trigger-pipeline.md

WHAT IT DOES

What gitlab_trigger_pipeline does on Gitlab

AI agents invoke gitlab_trigger_pipeline to trigger actions in Gitlab. 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 gitlab_trigger_pipeline is rated High

Triggering a CI/CD pipeline executes external operations (builds, tests, deployments) whose consequences are determined by the pipeline's configuration and cannot be easily predicted or reversed without additional actions. This is Execute rather than Write because it runs code/workflows rather than simply creating data.

From the tool's definition Tool description states 'Trigger a GitLab CI/CD pipeline on a branch' — this initiates automated workflow execution whose effects depend on pipeline configuration and may include deployments, code execution, and infrastructure changes.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gitlab_trigger_pipeline safely

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

gitlab_trigger_pipeline Rate-limited

gitlab_trigger_pipeline 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": {
    "gitlab_trigger_pipeline": {
      "limits": [
        {
          "counter": "gitlab_trigger_pipeline_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 Gitlab, apply this rule, and every gitlab_trigger_pipeline call is checked against it from then on.

FAQ

Questions about gitlab_trigger_pipeline

What does the gitlab_trigger_pipeline tool do? +

Trigger a GitLab CI/CD pipeline on a branch. It is categorised as a Execute tool in the Gitlab MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on gitlab_trigger_pipeline? +

Register the Gitlab MCP server in PolicyLayer and add a rule for gitlab_trigger_pipeline: 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 Gitlab. Nothing to install.

What risk level is gitlab_trigger_pipeline? +

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

Can I rate-limit gitlab_trigger_pipeline? +

Yes. Add a rate_limit block to the gitlab_trigger_pipeline 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 gitlab_trigger_pipeline completely? +

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

gitlab_trigger_pipeline is provided by the Gitlab MCP server (dkeeno/gitlab-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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