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How to Use the ChargeOver MCP in Google ADK

Analyze ChargeOver billing data inside Google ADK using Gemini's million-token context window.

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Google ADK

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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Enterprise Billing Analytics in Google ADK

Dump your entire transaction history directly into Gemini's long-context window. By exposing the MCP server to your Google ADK agent, it runs `list_billing_transactions` to pull historical payments and analyze churn patterns over several years. The agent processes this massive dataset alongside customer records pulled via `list_chargeover_customers`. You get complex financial forecasting models without hitting token limits.

Cross-Reference BigQuery with ChargeOver MCP Server

Combine your data warehouse tables with live billing data. The agent uses `list_billing_quotes` to pull active sales estimates and matches them against warehouse metrics to track your pipeline conversion rates. When it spots an anomaly, the agent drills down by calling `get_invoice_details`. It verifies the specific line items and updates your Google Cloud databases with the correct payment status.

Automate Subscription Audits

Set up an autonomous agent that monitors your recurring revenue. The agent invokes `list_billing_subscriptions` to identify accounts that have changed tiers or canceled their services recently. It then calls `get_customer_details` to gather contact info for those accounts. This gives your account managers an automated daily list of customers who need immediate outreach.

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. 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 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,
)

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.

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Common questions about ChargeOver MCP in Google ADK

Initialize an McpToolset using your Vinkius HTTP endpoint URL. Pass this toolset to your LlmAgent instance, which immediately exposes tools like `list_chargeover_invoices` to Gemini.
Yes, you can use the tool_names filter when setting up your McpToolset. By specifying only `list_chargeover_invoices` and `get_invoice_details`, you ensure the agent cannot access customer profiles or transaction logs.
Vinkius acts as a secure proxy that handles the API header exchange. Your Google ADK code only needs a single token to talk to the server, keeping your underlying API secrets safe from the agent's runtime environment.
Yes, Gemini's large context window allows your agent to ingest the complete output of `list_billing_transactions` and summarize financial trends without running out of memory.
All data transfers are encrypted in transit and processed within isolated, zero-trust runtimes. No customer financial details or billing records are stored on Vinkius servers after the tool execution completes.

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