How to Use the CyberArk Privilege Cloud MCP in Mastra AI

Build automated security workflows in Mastra AI that interact with your CyberArk vaults.

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Connect CyberArk Privilege Cloud MCP to Mastra AI

Create your Vinkius account to connect CyberArk Privilege Cloud to Mastra AI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup CyberArk Privilege Cloud with Mastra AI

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Perplexity

Automate account lifecycle with Mastra AI

Map your infrastructure by using `list_safes` to find the correct containers for your secrets. You can build a Mastra workflow that checks account status before running a task. Use `add_account` to provision new credentials automatically. The server forces you to specify the Platform ID so rotation stays consistent.

Mastra AI incident response tools

Create a branch in your agent logic that watches for suspicious activity. If your monitor detects a threat, trigger `terminate_session` to drop the active user. This gives your agents the ability to act on security events. You keep the human-in-the-loop by using the approval requirements native to your framework.

Vault interaction for complex agents

Query specific details about your infrastructure with `get_safe`. Your agent gets the metadata needed to decide if a credential is ready for use. Use `list_groups` to verify the PAM logical architecture. You ensure that only the correct teams possess access to your tier-0 credentials.

Setup guide

Set up CyberArk Privilege Cloud MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All CyberArk Privilege Cloud tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

import { MCPClient } from "@mastra/mcp";
import { Agent } from "@mastra/core/agent";
import { openai } from "@ai-sdk/openai";

const mcpClient = new MCPClient({
  id: "cyberark-privilege-cloud-mcp-client",
  servers: {
    "cyberark-privilege-cloud-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "CyberArk Privilege Cloud Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to CyberArk Privilege Cloud tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent CyberArk Privilege Cloud transactions"
);
console.log(result.text);

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Common questions about CyberArk Privilege Cloud MCP in Mastra AI

You initialize the client with the server URL and your endpoint token. The agent then dynamically discovers the 10 available tools for your workflows.

Yes. You pass the required justification string as an argument when calling the retrieval tool. The vault logs this reason for your internal auditors.

You can configure exponential backoff in your workflow definitions. If a vault request fails due to network jitter, the agent tries again.

Access occurs over a secure, authenticated bridge. The server does not store your account details, it only facilitates the request between your agent and the vault.

It processes sensitive account properties, vault metadata, and session identifiers. These are handled as ephemeral objects that disappear once the agent task finishes.

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