How to Use the DataDome MCP in Google ADK

Q: How do I register the DataDome MCP Server inside my Google ADK agent?

Initialize McpToolset with the streamable HTTP URL provided by Vinkius. Pass this toolset directly into your LlmAgent constructor to expose the security tools to Gemini.

Q: Can Google ADK use DataDome tools to run automated security audits?

Yes, your Google ADK agent can call listcustombotrules and analyze your firewall rules. Gemini's long context allows it to evaluate complex rule lists against your active endpoints to find gaps.

Q: How does Google ADK handle high-volume DataDome log streams?

The agent uses the listaccesslogs tool to pull recent request batches. You can set the agent to run on a cron job, processing logs in chunks and saving structured summaries directly to BigQuery.

Q: How are DataDome API keys protected when using Google ADK?

The listprotectedapplications tool masks your API keys before returning them to the agent. Vinkius stores your actual credentials in an encrypted vault, and they run inside your ephemeral MCP container so your LLM never sees or leaks your raw secrets.

Feed live DataDome security telemetry directly to your Google ADK agents for long-context threat analysis.

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Connect DataDome MCP to Google ADK

Create your Vinkius account to connect DataDome 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 DataDome with Google ADK

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Analyze Live Attack Patterns with Google ADK

The `list_recent_threats` tool pulls active security incidents, including credential stuffing and scraping attempts, directly into your Gemini agent. This allows your Google ADK agent to process hundreds of recent threats inside its massive context window. Instead of looking at isolated events, your agent correlates this threat stream with historical logs stored in BigQuery. The model identifies coordinated botnets by matching IP patterns and attack timing across your entire infrastructure.

Verify Protection Across Multi-Platform Apps

The `list_protected_applications` tool lists all mobile, web, and API applications currently guarded by your security setup. Your agent uses this inventory to verify that every active endpoint is mapped to the correct protection profile. When deploying new services, the Google ADK agent cross-references this list against your Google Cloud Run deployments. It flags any exposed API that lacks active protection, preventing accidental security gaps during rapid deployments.

Audit Edge Rules and Endpoint Health via MCP

The `list_protected_endpoints` tool retrieves metadata, URLs, and protection states for every route monitored by the firewall. Your agent monitors this list to ensure high-traffic routes remain active and protected. If an endpoint starts throwing errors, the agent calls `get_endpoint_health` to check latency and error rates. It combines this data with your cloud logging metrics to isolate whether the issue lies in the integration or your backend code.

Setup guide

Set up DataDome 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 DataDome 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="DataDome_agent",
    model="gemini-2.0-flash",
    instruction="You have access to DataDome 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 DataDome. 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 DataDome MCP in Google ADK

Initialize `McpToolset` with the streamable HTTP URL provided by Vinkius. Pass this toolset directly into your `LlmAgent` constructor to expose the security tools to Gemini.

Yes, your Google ADK agent can call `list_custom_bot_rules` and analyze your firewall rules. Gemini's long context allows it to evaluate complex rule lists against your active endpoints to find gaps.

The agent uses the `list_access_logs` tool to pull recent request batches. You can set the agent to run on a cron job, processing logs in chunks and saving structured summaries directly to BigQuery.

Every DataDome tool in this MCP Server is read-only by design. Your agent can inspect logs, check endpoint health, and list rules without any risk of modifying your production firewall settings.

The `list_protected_applications` tool masks your API keys before returning them to the agent. Vinkius stores your actual credentials in an encrypted vault, and they run inside your ephemeral MCP container so your LLM never sees or leaks your raw secrets.

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