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How to Use the Chargebee MCP in Google ADK

Feed live Chargebee billing data directly into your Gemini enterprise agents using Google ADK.

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Google ADK

Connect Chargebee MCP to Google ADK

Create your Vinkius account to connect Chargebee 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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Sync subscription data with BigQuery via Google ADK

Pulling live customer agreements directly into your Google ADK agent is handled by the `list_subscriptions` tool. You can dump this raw data straight into BigQuery to run churn models inside Vertex AI. Gemini's million-token context window allows the agent to ingest thousands of rows returned by this tool in a single turn. This lets your enterprise model analyze entire customer cohorts without hitting context limits.

Run secure billing lookups using this MCP Server

Resolving customer billing disputes gets fast when the `get_customer` tool pulls specific profile details. Once you load this tool into `McpToolset`, your Google ADK agent pulls account statuses during live support calls. You'll use the `tool_names` filter in your Python setup to block destructive actions. That ensures public-facing models only read details without touching active accounts.

Audit invoice histories inside Google Cloud

Auditing past billing transactions is easy when the `list_invoices` tool filters records by payment status. Your agent matches these records against internal Google Cloud databases to spot payment gaps. Since the MCP Server manages the transport layer, your enterprise agent runs these queries over secure HTTP. This removes the need to write custom API wrappers for every billing report.

Setup guide

Set up Chargebee 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 Chargebee 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="Chargebee_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Chargebee 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 Chargebee. 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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Common questions about Chargebee MCP in Google ADK

Use the `McpToolset` class with your Vinkius HTTP endpoint URL to load the tools. Pass this toolset into your `LlmAgent` configuration to make the billing tools available to Gemini.
Yes, the agent can call `list_invoices` with specific customer IDs. Gemini parses the tool parameters automatically to return only the relevant billing history.
Gemini's large context window allows the agent to process massive payloads from `list_subscriptions` over this MCP connection. This makes it easy to run complex analysis on thousands of customer records at once.
Yes, you can pass a list of allowed tool names to your `McpToolset` instance. This prevents the agent from seeing or executing tools like `cancel_subscription` in production.
Customer profiles and invoice histories are transmitted directly between the Vinkius sandbox and your Google Cloud VPC. Your transaction data is never stored by the MCP Server or used for public model training.

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