How to Use the Checkmarx MCP in Google ADK

Q: Will Google ADK agents see my Checkmarx scan findings?

Yes, by invoking getscanresults. The tool returns structured data that your agent uses to generate security reports.

Q: Can I filter which Checkmarx tools Google ADK uses?

Yes. You can use the toolnames filter in your toolset configuration to restrict access to specific operations.

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Connect Checkmarx MCP to Google ADK

Create your Vinkius account to connect Checkmarx 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 Checkmarx with Google ADK

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Automate Checkmarx scans within Google ADK

Your agent manages the full lifecycle of security jobs. It calls `list_projects` to identify the right target, then `run_scan` to start the analysis. Status updates are handled by `get_scan_details`. This allows your agent to report back on engine timings and failure points without you leaving the Google Cloud environment.

Contextualize vulnerabilities with Google ADK

Gain visibility into your security debt by pulling project metadata with `get_project`. This ensures your agent always targets the correct branch. Once the scan finishes, use `get_scan_results` to fetch specific findings. Your agent can then reason over this data using the massive context window provided by Gemini.

Cloud security checks for Google ADK

Use `get_kics_results` to audit your infrastructure configurations. Your agent identifies risky Kubernetes YAML or Dockerfile settings before they reach production. Keep your security metrics organized by using `list_applications` to group your projects. It provides a clean view of risk across your entire cloud footprint.

Setup guide

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

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Common questions about Checkmarx MCP in Google ADK

You initialize an McpToolset with your server parameters. Then, include that toolset in the tools list when you instantiate your LlmAgent.

Yes, by invoking `get_scan_results`. The tool returns structured data that your agent uses to generate security reports.

The MCP server only processes scan IDs, vulnerability descriptions, and file paths. It never touches your sensitive production databases.

Yes. You can use the tool_names filter in your toolset configuration to restrict access to specific operations.

It provides consistent, typed responses for every scan status and finding. Your agent relies on these stable outputs to trigger remediation actions.

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