deploy_project · Ploi MCP Server MCP: Risk & Policy

WHAT IT DOES

What deploy_project does on Ploi MCP Server

AI agents invoke deploy_project to trigger actions in Ploi 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_project needs a policy

This tool executes a deployment pipeline, which runs code and external operations on remote infrastructure. While not destructive by itself, it has significant blast radius: failed deployments can take services offline, corrupt data, or expose security vulnerabilities. The effects are not immediately reversible and depend on the configuration provided.

From the tool's definition Tool description states 'Deploy the current project using .ploi.json config file and wait for completion'. Deployment triggers external operations (build, test, release pipelines) whose effects depend on the project configuration and arguments.

Attacks that exploit this kind of access

Recommended rule Ready

Verdict

deploy_project Rate-limited

deploy_project 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_project": {
      "limits": [
        {
          "counter": "deploy_project_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 Ploi MCP Server, so you can run agents against it safely.

FAQ

Questions about deploy_project

What does the deploy_project tool do? +

Deploy the current project using .ploi.json config file and wait for completion. Use this when the user says. It is categorised as a Execute tool in the Ploi 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_project? +

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

What risk level is deploy_project? +

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

Can I rate-limit deploy_project? +

Yes. Add a rate_limit block to the deploy_project 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_project completely? +

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

deploy_project is provided by the Ploi MCP Server MCP server (sudanese/ploi-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.