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How to Use the Chargeblast MCP in Google ADK

Actionable chargeback prevention for Google ADK agents connected to your BigQuery data.

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Google ADK

Connect Chargeblast MCP to Google ADK

Create your Vinkius account to connect Chargeblast 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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Connect Chargeblast data to Google ADK

Use `list_dispute_alerts` to fetch active cases directly into your Gemini-powered agent. The `get_dispute_alert_details` tool provides the granular context needed to resolve issues. Your agent reasons over this data alongside your existing BigQuery tables. It makes smarter decisions because it sees the full dispute history.

Run deflection logs through Google ADK

Your agent queries `list_deflection_logs` to audit which chargebacks were blocked. It then uses `upload_order_data` to ensure your receipts are always current. This keeps your fraud prevention loop tight. You gain visibility into how your Google Cloud infrastructure interacts with the Chargeblast engine.

Automate merchant credits in Google ADK

The `list_enrolled_merchants` tool allows your agent to manage multiple accounts from one interface. When a dispute is valid, it triggers `request_dispute_credit` immediately. This workflow moves at the speed of your model. By filtering exposed tools, you keep the agent focused strictly on the tasks you authorize.

Setup guide

Set up Chargeblast 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Chargeblast 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="Chargeblast_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Chargeblast tools via MCP.",
    tools=mcp_tools,
)

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

Why Choose Vinkius

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Real-time monitoring

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visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

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lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Chargeblast MCP in Google ADK

You use the McpToolset class and point it to your server URL. Pass this toolset into your LlmAgent to start executing Chargeblast operations.
They can. Because your agent has access to long-context reasoning, it parses large volumes of deflection logs to spot trends that humans miss.
Yes, your agent can join data from BigQuery with Chargeblast dispute alerts. This allows for complex logic, like cross-referencing customer lifetime value with dispute frequency.
You can use the tool_names filter to restrict which functions the agent sees. This ensures the agent only touches the specific Chargeblast tools you need.
Data privacy is handled at the transport layer. All communication between the Google ADK agent and the Vinkius-managed server uses encrypted streams, keeping your sensitive dispute details away from unauthorized logs.

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