create_deployment

Create a deployment

SERVERGitlab Mcp SOURCE@zereight/mcp-gitlab

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/io-github-zereight-gitlab-mcp/create-deployment.md

WHAT IT DOES

What create_deployment does on Gitlab Mcp

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

Deploying code triggers external infrastructure changes with significant operational impact.

From the tool's definition Create a deployment

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs create_deployment safely

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

create_deployment Rate-limited

create_deployment 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": {
    "create_deployment": {
      "limits": [
        {
          "counter": "create_deployment_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 Mcp, apply this rule, and every create_deployment call is checked against it from then on.

FAQ

Questions about create_deployment

What does the create_deployment tool do? +

Create a deployment. It is categorised as a Execute tool in the Gitlab Mcp MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on create_deployment? +

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

What risk level is create_deployment? +

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

Can I rate-limit create_deployment? +

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

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

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

KEEP EXPLORING

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