What information is needed to validate a visitor?

At a minimum, you need the visitor's IP address and User-Agent string. Providing additional info like source or campaign IDs helps Anura provide more contextual fraud detection.

How do I access the fraud reports?

You can use the `get_report_list` tool to see all available reports. Then, use `get_report_details` for a summary or `download_report` to get a link to the full data file.

What do 'Good', 'Warning', and 'Bad' mean in Anura?

'Good' means the visitor is likely human. 'Bad' indicates clear fraud (GIVT/SIVT). 'Warning' means the visitor shows suspicious traits and requires closer monitoring or additional validation.

Anura MCP Server for Google ADK 1 tools — connect in under 2 minutes

Name: Anura
Availability: InStock
Author: Vinkius

google.github.io/adk-docs/tools/mcp-tools

Built by Vinkius GDPR 1 Tools SDK

Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Anura as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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Vinkius supports streamable HTTP and SSE.

python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="anura_agent",
    instruction=(
        "You help users interact with Anura "
        "using 1 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Anura MCP Server

Protect your advertising spend with the Anura MCP Server. This integration allows your AI agent to interact directly with Anura.io's advanced fraud detection engine. Validate visitor traffic in real-time, monitor campaign health, and retrieve detailed fraud reports without leaving your workspace.

Google ADK natively supports Anura as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 1 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

What you can do

Real-Time Validation — Check if a visitor (IP + User-Agent) is 'Good', 'Warning', or 'Bad' instantly.
Campaign Monitoring — List monitored campaigns and traffic sources to identify where fraud is coming from.
Detailed Reporting — List, retrieve, and download comprehensive fraud reports for deep analysis.
Fraud Statistics — Get summarized statistics for specific time ranges to track fraud trends over time.
System Health — Check Anura's current system status to ensure reliable monitoring.

The Anura MCP Server exposes 1 tools through the Vinkius. Connect it to Google ADK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Anura to Google ADK via MCP

Follow these steps to integrate the Anura MCP Server with Google ADK.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 1 tools from Anura via MCP

Why Use Google ADK with the Anura MCP Server

Google ADK provides unique advantages when paired with Anura through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Anura

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Anura tools with BigQuery, Vertex AI, and Cloud Functions

Anura + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Anura MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Anura and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Anura tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Anura regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Anura

Anura MCP Tools for Google ADK (1)

These 1 tools become available when you connect Anura to Google ADK via MCP:

get_system_status

Check Anura system status

Example Prompts for Anura in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Anura immediately.

"Validate visitor with IP 1.2.3.4 and User-Agent 'Mozilla/5.0...'"

"Show me the fraud statistics for the last 7 days."

"List my active campaigns in Anura."

Troubleshooting Anura MCP Server with Google ADK

Common issues when connecting Anura to Google ADK through the Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Anura + Google ADK FAQ

Common questions about integrating Anura MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.