undeploy_model

Undeploy a model endpoint

SERVERClaude MCP Server Ecosystem SOURCEcoder-rl/claude_mcpserver_dev1

Critical RISK CLASS

Category Destructive

Parameters 00 required

Recommended Hiddensee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/coder-rl-claude-mcpserver-dev1/undeploy-model.md

WHAT IT DOES

What undeploy_model does on Claude MCP Server Ecosystem

AI agents call undeploy_model to permanently remove resources in Claude MCP Server Ecosystem, typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.

RISK

Why undeploy_model is rated Critical

Undeploying a model endpoint removes it from active service, which is not easily reversible (re-deployment requires reconfiguration, resource allocation, and time). This constitutes a destructive action with high blast radius since it would disable AI model serving capabilities, potentially breaking dependent applications and workflows.

From the tool's definition 'undeploy_model' and 'Undeploy a model endpoint' — removing/tearing down a deployed model endpoint is an irreversible operational action that terminates the serving infrastructure

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs undeploy_model safely

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

undeploy_model Hidden

undeploy_model is removed from the agent's tool list entirely, so the agent never calls it. The rest of the server keeps working.

View as policy code

policy.json

{
  "version": "1",
  "default": "deny",
  "hide": [
    "undeploy_model"
  ]
}

RESTRICT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect Claude MCP Server Ecosystem, apply this rule, and every undeploy_model call is checked against it from then on.

FAQ

Questions about undeploy_model

What does the undeploy_model tool do? +

Undeploy a model endpoint. It is categorised as a Destructive tool in the Claude MCP Server Ecosystem MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.

How do I enforce a policy on undeploy_model? +

Register the Claude MCP Server Ecosystem MCP server in PolicyLayer and add a rule for undeploy_model: 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 Claude MCP Server Ecosystem. Nothing to install.

What risk level is undeploy_model? +

undeploy_model is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.

Can I rate-limit undeploy_model? +

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

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

undeploy_model is provided by the Claude MCP Server Ecosystem MCP server (coder-rl/claude_mcpserver_dev1). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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