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gitlab_play_pipeline_job

Play a manual job.

How to control gitlab_play_pipeline_job ↓

What gitlab_play_pipeline_job does on Gitlab

AI agents invoke gitlab_play_pipeline_job 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.

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Why gitlab_play_pipeline_job needs a policy

This tool triggers the execution of a manual CI/CD pipeline job. This is an Execute-category action because it causes external operations to run (builds, deployments, scripts, etc.) whose effects depend on the job's configuration. Misuse could trigger unintended deployments or infrastructure changes, making severity high.

From the tool's definition "Play a manual job" — triggers execution of a pipeline job in GitLab

Documented attack patterns abuse exactly the kind of access gitlab_play_pipeline_job gives an agent:

How to control gitlab_play_pipeline_job

PolicyLayer is an MCP gateway — it sits between your AI agents and Gitlab, and nothing reaches the server without passing your rules. This is the rule we recommend for gitlab_play_pipeline_job:

policy.json
{
  "version": "1",
  "default": "deny",
  "tools": {
    "gitlab_play_pipeline_job": {
      "limits": [
        {
          "counter": "gitlab_play_pipeline_job_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

gitlab_play_pipeline_job 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.

  1. Create a free account and register Gitlab — nothing to install.
  2. Add this policy — paste it, or build it visually.
  3. Point your MCP client (Claude, Cursor, anything) at your gateway URL.
RATE-LIMIT THIS TOOL →

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Related tools and policies

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Questions about gitlab_play_pipeline_job

What does the gitlab_play_pipeline_job tool do? +

Play a manual job. 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_play_pipeline_job? +

Register the Gitlab MCP server in PolicyLayer and add a rule for gitlab_play_pipeline_job: 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_play_pipeline_job? +

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

Can I rate-limit gitlab_play_pipeline_job? +

Yes. Add a rate_limit block to the gitlab_play_pipeline_job 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_play_pipeline_job completely? +

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

gitlab_play_pipeline_job is provided by the Gitlab MCP server (mcpland/gitlab-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Gitlab tool call.

Start from Gitlab, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

Free to start. No card required.

190 Gitlab tools catalogued and risk-classified — across an index of 43,000+ MCP servers.

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