Manages Helm releases (install, upgrade, list, status, history, template). Returns structured JSON output.
AI agents invoke helm to trigger actions in Lint. 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.
Helm operations include install and upgrade which deploy or modify Kubernetes workloads — these are external operations with significant blast radius. While 'list', 'status', and 'history' are read-only, and 'template' is non-destructive, the presence of 'install' and 'upgrade' makes this an Execute-level tool. Misuse could deploy malicious workloads or misconfigure production Kubernetes clusters.
From the tool's definition Manages Helm releases (install, upgrade, list, status, history, template)
Documented attack patterns abuse exactly the kind of access helm gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and Lint, and nothing reaches the server without passing your rules. This is the rule we recommend for helm:
{
"version": "1",
"default": "deny",
"tools": {
"helm": {
"limits": [
{
"counter": "helm_rate",
"window": "minute",
"max": 10,
"scope": "grant"
}
]
}
}
} helm 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.
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Manages Helm releases (install, upgrade, list, status, history, template). Returns structured JSON output. It is categorised as a Execute tool in the Lint MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Lint MCP server in PolicyLayer and add a rule for helm: 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 Lint. Nothing to install.
helm is a Execute tool with high risk. Execute tools should be rate-limited and have argument validation enabled.
Yes. Add a rate_limit block to the helm 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.
Set action: deny in the PolicyLayer policy for helm. 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.
helm is provided by the Lint MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Start from Lint, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.
Free to start. No card required.
202 Lint tools catalogued and risk-classified — across an index of 43,000+ MCP servers.