How to Use the CyberArk Privilege Cloud MCP in Google ADK

Q: How does the Google ADK authenticate with the CyberArk Privilege Cloud MCP Server?

You initialize the connection using McpToolset with your Vinkius HTTP endpoint. The ADK handles the transport, making the tools available to your Gemini agent without manual credential mapping.

Q: Does the Google ADK support real-time session termination in CyberArk Privilege Cloud?

Yes, your agent can call terminatesession instantly when Vertex AI pipelines flag suspicious behavior. The tool executes immediately, severing the active PSM or PSMP connection.

Q: How do I restrict my Gemini agent to read-only vault tools?

Use the ADK's toolnames filter to expose only getaccount and listsafes. This prevents the agent from executing write operations like addaccount or deleteaccount.

Audit your vaults and terminate rogue sessions using the Google ADK to analyze massive CyberArk logs in Gemini's long context.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect CyberArk Privilege Cloud MCP to Google ADK

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

GDPR Free for Subscribers

Setup CyberArk Privilege Cloud with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Map vault permissions with BigQuery and Google ADK

`list_groups` retrieves the user groups assigned to your secure safes, allowing the Google ADK to cross-reference PAM logical access architectures against your BigQuery IAM datasets. This lets your agent run deep access audits across thousands of corporate groups. By feeding the output of `list_safes` into Gemini's long-context window, your agent identifies orphaned containers that lack active owners. You can run these audits daily to keep your vault clean and aligned with least-privilege standards.

Process large-scale vault audits with this MCP Server

`list_accounts` pulls high-value credentials, including root and service accounts, directly into the Google ADK for analysis. Gemini uses its massive context window to parse thousands of accounts, mapping addresses and rotational statuses in one go. The agent compares this account list with active server inventories in your Google Cloud projects. If the MCP Server finds a vaulted local admin credential for a decommissioned VM, it flags it for cleanup.

Active incident response using Gemini and Google ADK

`terminate_session` shuts down active PSM or PSMP sessions when the Google ADK detects anomalous activity in your cloud logging buckets. Your agent acts as an automated responder, matching session IDs to suspicious network events. The agent reads active user directories using `list_users` to verify if the session owner is on call. If the user is offline, the agent executes the termination tool to kill the connection immediately.

Setup guide

Set up CyberArk Privilege Cloud MCP in Google ADK

Prerequisites

Python 3.10+ installed
google-adk package (pip install google-adk)
Active Vinkius subscription with a valid endpoint token

1

Install Google ADK

Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.
2

Connect via SSE transport

Use McpToolset.from_server() with SseServerParams pointing to your Vinkius endpoint. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Create an LlmAgent

Pass the returned mcp_tools list directly to LlmAgent(tools=mcp_tools). The ADK maps each MCP tool to a native Gemini function call — no manual schema definitions required.
4

Run with any Gemini model

The agent works with any Gemini model (gemini-2.0-flash, gemini-2.5-pro, etc.). Copy the full example on the right to get started with CyberArk Privilege Cloud tools in your ADK agent.

agent.py

from google.adk.agents import LlmAgent
from google.adk.tools.mcp_tool.mcp_toolset import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import SseServerParams

# Connect to the MCP via SSE
mcp_tools, exit_stack = await McpToolset.from_server(
    connection_params=SseServerParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    )
)

# Create your agent with auto-discovered tools
agent = LlmAgent(
    name="CyberArk Privilege Cloud_agent",
    model="gemini-2.0-flash",
    instruction="You have access to CyberArk Privilege Cloud tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by CyberArk. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect CyberArk Privilege Cloud now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about CyberArk Privilege Cloud MCP in Google ADK

You initialize the connection using `McpToolset` with your Vinkius HTTP endpoint. The ADK handles the transport, making the tools available to your Gemini agent without manual credential mapping.

Yes, Gemini's long context easily digests the JSON output from `list_accounts`. The agent can map thousands of vaulted credentials to your BigQuery infrastructure logs in a single run.

Yes, your agent can call `terminate_session` instantly when Vertex AI pipelines flag suspicious behavior. The tool executes immediately, severing the active PSM or PSMP connection.

Use the ADK's `tool_names` filter to expose only `get_account` and `list_safes`. This prevents the agent from executing write operations like `add_account` or `delete_account`.

Vault session IDs and user directories are processed purely within your Google Cloud boundary. Vinkius runs the MCP server in an ephemeral sandbox, meaning metadata is wiped the moment your agent finishes its run.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript