gitlab_list_issues

THE RISK

Low Risk

Why gitlab_list_issues needs a policy

This tool queries and returns existing issues from a GitLab project without creating, modifying, or deleting any data. It is a straightforward read operation with minimal risk if misused by an AI agent—the worst outcome would be unauthorized information disclosure of issues already visible to the authenticated user.

From the tool's definition Tool name 'gitlab_list_issues' and description 'List issues in a GitLab project' indicate a retrieval operation with no modification or side effects.

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

POLICY

How to control gitlab_list_issues

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

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "gitlab_list_issues": {}
  }
}

gitlab_list_issues is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register GitLab MCP Server — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

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All 42 GitLab MCP Server tools →

Read tools on other servers

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Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about gitlab_list_issues

What does the gitlab_list_issues tool do? +

List issues in a GitLab project. It is categorised as a Read tool in the GitLab MCP Server MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on gitlab_list_issues? +

Register the GitLab MCP Server MCP server in PolicyLayer and add a rule for gitlab_list_issues: 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 MCP Server. Nothing to install.

What risk level is gitlab_list_issues? +

gitlab_list_issues is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit gitlab_list_issues? +

Yes. Add a rate_limit block to the gitlab_list_issues 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_list_issues completely? +

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

gitlab_list_issues is provided by the GitLab MCP Server MCP server (rifqi96/mcp-gitlab). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every GitLab MCP Server tool call.

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

CHECK YOUR STACK →