glab_pipelines · RedisNexus MCP: Risk & Policy

WHAT IT DOES

What glab_pipelines does on RedisNexus

AI agents invoke glab_pipelines to trigger actions in RedisNexus. 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 IT NEEDS A POLICY

Why glab_pipelines needs a policy

This tool can trigger CI/CD pipelines (Execute), cancel or retry them (Execute/Write), and delete them (Destructive). Following the most-severe-applicable rule, triggering pipelines runs arbitrary CI/CD workflows in production environments, which qualifies as Execute. The delete capability adds a Destructive dimension, but pipeline execution in production has the highest blast radius here.

From the tool's definition Manage GitLab CI/CD pipelines: list, view, trigger, cancel, retry, delete.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

glab_pipelines Rate-limited

glab_pipelines 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": {
    "glab_pipelines": {
      "limits": [
        {
          "counter": "glab_pipelines_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches RedisNexus, so you can run agents against it safely.

FAQ

Questions about glab_pipelines

What does the glab_pipelines tool do? +

Manage GitLab CI/CD pipelines: list, view, trigger, cancel, retry, delete. It is categorised as a Execute tool in the RedisNexus MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on glab_pipelines? +

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

What risk level is glab_pipelines? +

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

Can I rate-limit glab_pipelines? +

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

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

glab_pipelines is provided by the RedisNexus MCP server (rajkumar-madhu/mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.