gcp_kms_encrypt

Encrypt data using a Cloud KMS key

SERVERGCP MCP Server SOURCEahmedselimmansor-ctrl/gcp_mcp_server

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/ahmedselimmansor-ctrl-gcp-mcp-server/gcp-kms-encrypt.md

WHAT IT DOES

What gcp_kms_encrypt does on GCP MCP Server

AI agents invoke gcp_kms_encrypt to trigger actions in GCP MCP Server. 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 gcp_kms_encrypt is rated High

This tool performs a cryptographic operation (encryption) using a Cloud KMS key. It triggers an external GCP service operation that transforms data — it's not a simple read, nor does it create/modify stored resources or delete anything. It executes a KMS encrypt API call whose output depends on the key and plaintext arguments.

From the tool's definition Encrypt data using a Cloud KMS key

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs gcp_kms_encrypt safely

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

gcp_kms_encrypt Rate-limited

gcp_kms_encrypt 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": {
    "gcp_kms_encrypt": {
      "limits": [
        {
          "counter": "gcp_kms_encrypt_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 GCP MCP Server, apply this rule, and every gcp_kms_encrypt call is checked against it from then on.

FAQ

Questions about gcp_kms_encrypt

What does the gcp_kms_encrypt tool do? +

Encrypt data using a Cloud KMS key. It is categorised as a Execute tool in the GCP MCP Server MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.

How do I enforce a policy on gcp_kms_encrypt? +

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

What risk level is gcp_kms_encrypt? +

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

Can I rate-limit gcp_kms_encrypt? +

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

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

gcp_kms_encrypt is provided by the GCP MCP Server MCP server (ahmedselimmansor-ctrl/gcp_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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