How to Use the Drata MCP in Google ADK

Run enterprise compliance agents in Google ADK using this Drata MCP Server to cross-reference data.

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Connect Drata MCP to Google ADK

Create your Vinkius account to connect Drata 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 Drata with Google ADK

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Monitor multi-framework compliance via MCP Server

Monitor multi-framework compliance in real time by calling `drata_list_frameworks` to check your readiness scores. This Drata MCP Server lets your Gemini agents track SOC 2, ISO 27001, and HIPAA posture. Because Google ADK supports deep reasoning over long contexts, your agent can digest entire control mappings returned by `drata_list_controls`. It pinpoints exactly which shared controls are dragging down your overall readiness scores.

Audit cloud infrastructure against Drata assets

Query `drata_list_assets` to pull your monitored cloud inventory and compare it against raw logs stored in BigQuery. This allows you to cross-reference your active Google Cloud footprint with your compliance records. If the agent spots unencrypted storage buckets or untracked database instances, it uses `drata_get_control` to find the exact security requirement that is being violated. This keeps your production cloud posture aligned with auditor expectations.

Evaluate third-party vendor risk profiles

Analyze third-party vendor postures by pulling current data with `drata_list_vendors` to protect your supply chain. Your agent can review security questionnaire statuses and check if a vendor's SOC 2 report has been reviewed. If a high-risk vendor has an expired assessment, the agent flags it for immediate review. Gemini's massive context window makes it easy to process these complex risk profiles.

Setup guide

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

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Common questions about Drata MCP in Google ADK

Instantiate the toolset with your Vinkius HTTP URL to expose all compliance endpoints. Pass this toolset directly into the LlmAgent tools list.

Yes. Your agent can query compliance tests to identify failing checks, then use Google Cloud tools to adjust VPC configurations or IAM policies to fix the underlying issue.

Gemini models handle long contexts easily. When the asset list returns hundreds of cloud resources, the model digests the entire payload without truncating critical compliance details.

Yes. The toolset configuration allows you to pass an optional list of names. If you only want your agent checking policies, limit it to policy tools.

Yes. The connection runs through secure, isolated V8 sandboxes on Vinkius. Your cloud asset details and VPC configurations are processed in memory and never written to persistent logs.

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