kernel_push

Push a new version of a kernel or create a new kernel.

SERVERKaggle-MCP SOURCE54yyyu/kaggle-mcp

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/54yyyu-kaggle-mcp/kernel-push.md

WHAT IT DOES

What kernel_push does on Kaggle-MCP

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

RISK

Why kernel_push is rated Medium

This tool creates or modifies kernel code/metadata on the Kaggle platform. It is reversible (kernels can be deleted, versions can be superseded, and edits can be undone). The impact is confined to the user's own kernel workspace. While it enables code execution in the Kaggle environment, the tool itself does not directly execute arbitrary code—it stages/pushes kernel definitions.

From the tool's definition Tool description states 'Push a new version of a kernel or create a new kernel.' The verbs 'push' and 'create' indicate data modification operations that create or update kernel artifacts on Kaggle.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs kernel_push safely

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

kernel_push Rate-limited

kernel_push 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": {
    "kernel_push": {
      "limits": [
        {
          "counter": "kernel_push_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 Kaggle-MCP, apply this rule, and every kernel_push call is checked against it from then on.

FAQ

Questions about kernel_push

What does the kernel_push tool do? +

Push a new version of a kernel or create a new kernel. It is categorised as a Write tool in the Kaggle-MCP MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.

How do I enforce a policy on kernel_push? +

Register the Kaggle MCP server in PolicyLayer and add a rule for kernel_push: 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 Kaggle-MCP. Nothing to install.

What risk level is kernel_push? +

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

Can I rate-limit kernel_push? +

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

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

kernel_push is provided by the Kaggle MCP server (54yyyu/kaggle-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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