How to Use the Cortex XSIAM MCP in Google ADK

Q: How do I add the Cortex XSIAM MCP Server to my Google ADK agent?

Use the McpToolset class with your Vinkius HTTP URL. Pass that toolset instance directly into your LlmAgent constructor to expose the security tools.

Q: Can my Google ADK agent query threat intelligence indicators in Cortex XSIAM?

Yes. Your agent can call getindicators to retrieve active indicators of compromise from your XSIAM tenant. This helps correlate Google Cloud logs with known threat intelligence.

Q: Can I limit which Cortex XSIAM tools my agent can see?

Yes. You can use the toolnames filter in the toolset configuration to expose only safe tools like getalerts while hiding destructive actions.

Connect Cortex XSIAM to your Google ADK pipelines to hunt threats using Gemini's million-token context.

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Connect Cortex XSIAM MCP to Google ADK

Create your Vinkius account to connect Cortex XSIAM 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.

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Setup Cortex XSIAM with Google ADK

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The `get_endpoints` tool retrieves a complete list of managed hosts and devices directly into your Gemini agent. You can instantly see which endpoints are offline, outdated, or missing critical security policies. Your agent can filter these systems and run a `scan_endpoint` to check for active malware. This lets you automate routine endpoint hygiene checks without writing custom MCP integrations.

Analyze security incidents with long-context reasoning

The `get_incidents` tool pulls active security incidents from your SOC queue directly into your Google ADK agent. Because Gemini handles massive context windows, you can feed entire lists of incidents to the agent for high-level pattern analysis. The agent can then call `get_incident_details` on specific high-severity events. This pulls raw alert telemetry and logs, allowing your agent to summarize the attack path in plain English.

Run automated playbooks from Google Cloud

The `execute_playbook` tool lets your enterprise agent trigger pre-defined remediation workflows inside XSIAM. You can kick off IP blocks or password resets directly from your Google Cloud environment. To verify the playbook worked, your agent can query `get_alerts` to see if the threat stopped firing. This closes the loop on automated incident response.

Setup guide

Set up Cortex XSIAM 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 Cortex XSIAM 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="Cortex XSIAM_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Cortex XSIAM tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Cortex XSIAM MCP in Google ADK

Use the `McpToolset` class with your Vinkius HTTP URL. Pass that toolset instance directly into your `LlmAgent` constructor to expose the security tools.

Yes. Your agent can call `get_indicators` to retrieve active indicators of compromise from your XSIAM tenant. This helps correlate Google Cloud logs with known threat intelligence.

Yes, this MCP Server works with both transport protocols. Most enterprise Google Cloud deployments use the streamable HTTP transport for reliable remote connectivity.

Yes. You can use the `tool_names` filter in the toolset configuration to expose only safe tools like `get_alerts` while hiding destructive actions.

Your endpoint details and security telemetry stay within your private Google Cloud VPC and the Vinkius secure corridor. No security data is ever cached on disk or used to train public models.

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