deploy_application

Deploy a new runtime application (Node.js, Python, etc.)

SERVER20i MCP Server SOURCEcbrown35/20i-mcp

High RISK CLASS

Category Execute

Parameters 00 required

Recommended Rate-limitedsee the rule below

Registry record Grade F, identity unverified Pull the record →

This record as markdown: /tools/cbrown35-20i-mcp/deploy-application.md

WHAT IT DOES

What deploy_application does on 20i MCP Server

AI agents invoke deploy_application to trigger actions in 20i 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.

RISK

Why deploy_application is rated High

This tool executes deployment operations that spin up and run code in a hosting environment. While not immediately destructive, deployment is an Execute action because it triggers external runtime operations whose consequences depend on what application/code is deployed.

From the tool's definition Tool name 'deploy_application' combined with description stating it deploys runtime applications (Node.js, Python, etc.). The verb 'deploy' indicates triggering external operations whose effects depend on provided arguments.

Attacks that exploit this kind of access

RECOMMENDED RULE

The rule that runs deploy_application safely

PolicyLayer is an MCP gateway: it sits between your AI agents and 20i MCP Server, and checks every tool call against a rule you set before the call runs. Nothing changes on the server itself. For deploy_application, this is the rule to start with:

deploy_application Rate-limited

deploy_application 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_application": {
      "limits": [
        {
          "counter": "deploy_application_rate",
          "window": "minute",
          "max": 10,
          "scope": "grant"
        }
      ]
    }
  }
}

RATE-LIMIT THIS TOOL → Instant setup, no code required.

The button opens the PolicyLayer dashboard: create your workspace, connect 20i MCP Server, apply this rule, and every deploy_application call is checked against it from then on.

FAQ

Questions about deploy_application

What does the deploy_application tool do? +

Deploy a new runtime application (Node.js, Python, etc.). It is categorised as a Execute tool in the 20i 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_application? +

Register the 20i MCP Server MCP server in PolicyLayer and add a rule for deploy_application: 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 20i MCP Server. Nothing to install.

What risk level is deploy_application? +

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

Can I rate-limit deploy_application? +

Yes. Add a rate_limit block to the deploy_application 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_application completely? +

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

deploy_application is provided by the 20i MCP Server MCP server (cbrown35/20i-mcp). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.

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