get_deploys

THE RISK

Low Risk

Why get_deploys needs a policy

This tool retrieves deployment history, which is a read-only operation. It has no side effects, does not execute code, does not modify data, and does not involve financial transactions. The blast radius of misuse is minimal — an attacker could at most view historical deployment information about a service. Severity is low because this is informational access only.

From the tool's definition Tool name is 'get_deploys' and description states 'Get deployment history for a service' — this is a retrieval operation that queries historical data without modifying or executing anything.

Documented attack patterns abuse exactly the kind of access get_deploys gives an agent:

POLICY

How to control get_deploys

PolicyLayer is an MCP gateway — it sits between your AI agents and Render, and nothing reaches the server without passing your rules. This is the rule we recommend for get_deploys:

policy.json

{
  "version": "1",
  "default": "deny",
  "tools": {
    "get_deploys": {}
  }
}

get_deploys is read-only, so it stays allowed — but everything else on the server is denied unless you say otherwise.

Create a free account and register Render — nothing to install.
Add this policy — paste it, or build it visually.
Point your MCP client (Claude, Cursor, anything) at your gateway URL.

CAP THIS TOOL →

Free to start. No card required.

EXPLORE

Related tools and policies

More Render tools

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All 8 Render tools →

Read tools on other servers

M-Team MCP Server get_torrent_detail YouTube MCP Server search_channel Android Forensics ADB MCP Server parse_browser_history 0xarchive web3_challenge

Go deeper

The MCP Attack Database → Documented attack patterns against MCP deployments — and the policies that stop them.
Data exfiltration → How read access becomes an exfiltration channel when chained with untrusted content.
MCP token cost → What connecting this server costs in context-window tokens on every request.
Rate Limiting MCP Tool Calls: A Practical Guide →
MCP Security: Why Prompt Guardrails Aren't Enough →

FAQ

Questions about get_deploys

What does the get_deploys tool do? +

Get deployment history for a service. It is categorised as a Read tool in the Render MCP Server, which means it retrieves data without modifying state.

How do I enforce a policy on get_deploys? +

Register the Render MCP server in PolicyLayer and add a rule for get_deploys: 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 Render. Nothing to install.

What risk level is get_deploys? +

get_deploys is a Read tool with low risk. Read-only tools are generally safe to allow by default.

Can I rate-limit get_deploys? +

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

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

get_deploys is provided by the Render MCP server (niyogi/render-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

Enforce policy on every Render tool call.

Start from Render, add the rest of your stack, and see everything your agents can call. Then put policy on all of it.

CHECK YOUR STACK →