How to Use the Dastra MCP in Google ADK

Q: How does Dastra integrate with Google ADK?

You instantiate the McpToolset class and point it to the Vinkius endpoint. Your Google ADK agent then treats the Dastra tools as native functions.

Q: Can Google ADK agents update Dastra records?

Absolutely. By calling updatedsr, your agent pushes changes to your privacy records directly from your Google Cloud environment.

Bridge your Google ADK agents to your privacy management infrastructure.

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Connect Dastra MCP to Google ADK

Create your Vinkius account to connect Dastra 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 Dastra with Google ADK

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Sync Dastra with Google ADK workflows

Connect your Gemini-powered agent to your compliance data using the `list_dsr` tool. It reads your current request queue and prepares summaries for your team. Use `update_dsr` to push status changes back to your privacy platform. The agent handles the back-and-forth so you avoid manual updates.

Automate breach reporting via Google ADK

Your agent invokes `create_breach` when it detects an incident in your BigQuery logs. It attaches relevant metadata to the record immediately. Run `list_breaches` to let the agent review history. It finds patterns in your incident logs that you might have missed.

Query privacy records using Google ADK

Access your entire ROPA by calling `list_processings` through your agent. It parses the raw data into a format your Google Cloud infrastructure can digest. Filter results by using `list_workspaces` to isolate data by department. Your agent acts as the primary interface for your privacy mapping.

Setup guide

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Dastra. 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.

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Common questions about Dastra MCP in Google ADK

You instantiate the `McpToolset` class and point it to the Vinkius endpoint. Your Google ADK agent then treats the Dastra tools as native functions.

Absolutely. By calling `update_dsr`, your agent pushes changes to your privacy records directly from your Google Cloud environment.

Vinkius manages all authentication via a single endpoint token. Your agent only touches the specific records returned by the tools you invoke.

The server supports both Stdio and HTTP transports. You can choose the connection method that best fits your Google ADK deployment architecture.

The tools process PII like customer IDs and contact details within a secure, ephemeral sandbox. Your agent only receives the minimal data required for its specific task.

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