gitlab_batch_commit

A write tool on the Gitlab MCP server.

SERVERGitlab SOURCEdkeeno/gitlab-mcp-server

Medium RISK CLASS

Category Write

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-batch-commit.md

WHAT IT DOES

What gitlab_batch_commit does on Gitlab

AI agents use gitlab_batch_commit to create or update resources in Gitlab, usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Gitlab environment.

RISK

Why gitlab_batch_commit is rated Medium

A batch commit tool creates or modifies repository data (commits are write operations that alter the repository state), but the changes are reversible through standard Git mechanisms (revert, reset, cherry-pick). This is a Write operation rather than Destructive. Severity is high because bulk/batch operations could affect multiple developers and build pipelines if misused by an agent.

From the tool's definition Tool name 'gitlab_batch_commit' indicates creation of multiple commits. The server description confirms this tool operates within GitLab's version control and CI/CD automation. The 'batch' prefix suggests bulk operations on repository data.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gitlab_batch_commit 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_batch_commit, this is the rule to start with:

gitlab_batch_commit Rate-limited

gitlab_batch_commit stays usable, but capped: an agent stuck in a loop can't make hundreds of changes 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_batch_commit": {
      "limits": [
        {
          "counter": "gitlab_batch_commit_rate",
          "window": "minute",
          "max": 30,
          "scope": "grant"
        }
      ]
    }
  }
}

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_batch_commit call is checked against it from then on.

FAQ

Questions about gitlab_batch_commit

What does the gitlab_batch_commit tool do? +

gitlab_batch_commit is a write tool on the Gitlab MCP server. It is categorised as a Write tool in the Gitlab MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on gitlab_batch_commit? +

Register the Gitlab MCP server in PolicyLayer and add a rule for gitlab_batch_commit: 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_batch_commit? +

gitlab_batch_commit is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.

Can I rate-limit gitlab_batch_commit? +

Yes. Add a rate_limit block to the gitlab_batch_commit 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_batch_commit completely? +

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

gitlab_batch_commit 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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