deploy_to_xo · XO MCP Server MCP: Risk & Policy

WHAT IT DOES

What deploy_to_xo does on XO MCP Server

AI agents invoke deploy_to_xo to trigger actions in XO 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.

WHY IT NEEDS A POLICY

Why deploy_to_xo needs a policy

Deployment is an Execute-category action—it runs operations on external infrastructure that can have significant side effects (resource allocation, service availability, configuration changes). While not directly destructive or financial, it carries high blast radius if an AI misuses deployment parameters.

From the tool's definition Tool name 'deploy_to_xo' combined with server description stating it 'Enables AI assistants to deploy, manage, and interact with applications on XO infrastructure.' Deploy operations trigger external infrastructure changes with effects dependent on deployment…

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

deploy_to_xo Rate-limited

deploy_to_xo 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": {
    "deploy_to_xo": {
      "limits": [
        {
          "counter": "deploy_to_xo_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL →

Instant setup, no code required.

PolicyLayer is an MCP gateway: every tool call is checked against your rule before it reaches XO MCP Server, so you can run agents against it safely.

FAQ

Questions about deploy_to_xo

What does the deploy_to_xo tool do? +

deploy_to_xo. It is categorised as a Execute tool in the XO 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 deploy_to_xo? +

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

What risk level is deploy_to_xo? +

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

Can I rate-limit deploy_to_xo? +

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

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

deploy_to_xo is provided by the XO MCP Server MCP server (sharmasuraj0123/xo-mcp-server). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.