This record as markdown: /tools/io-github-dave-london-npm/helm.md
What helm does on Npm
AI agents invoke helm to trigger actions in Npm. 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.
Why helm is rated High
Helm operations like install and upgrade deploy or modify Kubernetes workloads in a cluster, which constitutes executing external operations with significant infrastructure impact. While list/status/history are read-only and template is local rendering, the presence of install and upgrade make this an Execute-category tool. Misuse could deploy malicious workloads or disrupt running services, warranting high severity.
From the tool's definition Manages Helm releases (install, upgrade, list, status, history, template)
Attacks that exploit this kind of access
The rule that runs helm safely
PolicyLayer is an MCP gateway: it sits between your AI agents and Npm, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For helm, this is the rule to start with:
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.
The button opens the PolicyLayer dashboard: create your workspace, connect Npm, apply this rule, and every helm call is checked against it from then on.
Questions about helm
Manages Helm releases (install, upgrade, list, status, history, template). Returns structured JSON output. It is categorised as a Execute tool in the Npm MCP Server, which means it can trigger actions or run processes. Use rate limits and argument validation.
Register the Npm 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 Npm. 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 Npm MCP server (Dave-London/Pare). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
More on Npm, and thousands of servers like it.
This server
Across the catalogue