How to Use the ChargeOver MCP in Google ADK

Q: How do I configure the ChargeOver MCP Server for Google ADK?

Install the SDK and initialize McpToolset with your Vinkius URL. Pass it to your LlmAgent tools array.

Connect this ChargeOver MCP Server to Google ADK to let Gemini manage your revenue.

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Connect ChargeOver MCP to Google ADK

Create your Vinkius account to connect ChargeOver 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 ChargeOver with Google ADK

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Manage billing with Google ADK

Setting up new accounts requires multiple steps. Your Gemini agent runs `create_billing_customer` first. Next, it calls `create_subscription` to assign a billing package. This data flows directly into your Google Cloud environment. You can combine these billing actions with existing BigQuery customer records.

Analyze customers across massive contexts

Enterprise accounts generate huge amounts of data. Pull it all using `list_billing_transactions` and `list_billing_customers`. Gemini models handle over a million tokens easily. Feed the entire transaction history into the prompt to spot late payment patterns.

Restrict this MCP Server to specific actions

Sometimes you only want read access. Pass a `tool_names` filter to `McpToolset` to expose just `list_subscriptions` and `list_billing_invoices`. The agent cannot create charges if you block the write tools. You maintain strict control over what the LLM can execute.

Setup guide

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

Install the SDK and initialize `McpToolset` with your Vinkius URL. Pass it to your `LlmAgent` tools array.

They call the listing tools to grab full payment records. Gemini processes those files natively.

Use the optional tool names array during setup. This prevents the agent from seeing tools you want kept hidden.

Your agent can read a BigQuery table and immediately draft invoices based on that data. The integration happens in your Python script.

Vinkius relies on a zero-trust architecture. Active subscriptions and unpaid invoice records never leak outside the isolated execution environment.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript

Mastra AI sdk-typescript

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