How to Use the Anura MCP in Google ADK

Q: Can I filter tools when using Anura with Google ADK?

You can use the toolnames filter in your toolset configuration to restrict which functions your agent can access. It keeps your interface clean.

Bring enterprise-grade fraud detection to Google ADK. Connect your Gemini agents to Anura for instant traffic analysis.

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Connect Anura MCP to Google ADK

Create your Vinkius account to connect Anura 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 Anura with Google ADK

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Google ADK traffic monitoring

Your agent uses the `get_system_status` tool to pull live fraud reports from your account. This provides the context Gemini needs to reason about traffic quality across your entire cloud environment. It works by querying the server endpoint directly from your agent logic. You get immediate, actionable insights into whether your visitors are real or synthetic.

Automated security for Gemini agents

Building with Google ADK means your agents can now act on Anura data to block bad actors. The agent calls the status check to see if a visitor segment is compromised before proceeding. This creates a closed-loop system where your infrastructure security is managed by your agent. It is a simple way to keep your BigQuery datasets clean from bot-injected garbage.

Infrastructure-aware fraud checks

The toolset integrates into your existing Google Cloud setup without extra overhead. Your agent invokes the status tool to keep your pipeline protected. Since this works with Stdio and HTTP transports, you have flexibility in how you deploy. It fits right into your existing agent framework on Vertex AI.

Setup guide

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

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Common questions about Anura MCP in Google ADK

Use the McpToolset class inside your agent definition. Pass your server URL to the StreamableHttpServerParameters and you are ready to go.

Absolutely. Your Gemini agent can process the fraud status output alongside your 1M token context window to make informed traffic decisions.

You can use the tool_names filter in your toolset configuration to restrict which functions your agent can access. It keeps your interface clean.

It handles auth via your Vinkius endpoint token. You don't need to manage complex keys inside your code.

Anura strictly accesses traffic metadata and visitor signals. No PII or proprietary business data is shared with the security engine during the check.

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