How to Use the Recharge MCP in Google ADK

Q: How do I register the Recharge MCP Server in my Google ADK agent?

Install google-adk and define a McpToolset pointing to your Vinkius HTTP endpoint. Pass this toolset into your LlmAgent tools array to expose the Recharge endpoints to Gemini.

Q: Can Gemini use Google ADK to cancel a Recharge subscription?

Yes, Gemini can invoke cancelsubscription directly if you grant the toolset permission. We recommend using the toolnames filter in the ADK to restrict this tool to authorized administrative agents.

Feed live Recharge subscription data directly into Gemini's massive context window using the Google ADK.

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Connect Recharge MCP to Google ADK

Create your Vinkius account to connect Recharge 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 Recharge with Google ADK

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Analyzing massive Recharge order histories in Google ADK

The `list_subscription_orders` tool retrieves high-volume historical data that can quickly clog standard LLM context windows. By using the Google ADK with Gemini, your agent can load thousands of processed orders directly into its million-token context window to analyze purchasing patterns. This allows the agent to cross-reference customer profiles from `get_customer` with long-term buying behavior. You get deep, data-driven reasoning without worrying about token limits or truncated payloads.

Correlating BigQuery datasets with live Recharge MCP Server tools

The `list_products` and `list_subscriptions` tools let you pull live catalog and active subscription data on demand. Because the Google ADK integrates natively with Google Cloud, your agent can write SQL queries against BigQuery and instantly compare historical warehouse data with live Recharge API states. This setup is perfect for inventory forecasting. The agent checks live subscription counts and compares them against warehouse stock levels, then suggests updates using `update_subscription` to keep supply and demand balanced.

Enterprise-grade customer lookups on Google Cloud

The `list_customers` and `get_subscription_details` tools form the backbone of automated customer service. Using the Google ADK, you can deploy these MCP tools as secure Vertex AI services that scale dynamically with your enterprise support volume. When a customer requests a change, the agent uses `list_shipping_addresses` to verify identity and shipping locations. The entire operation runs within your secure Google Cloud perimeter, keeping operations compliant.

Setup guide

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

Install `google-adk` and define a `McpToolset` pointing to your Vinkius HTTP endpoint. Pass this toolset into your `LlmAgent` tools array to expose the Recharge endpoints to Gemini.

Yes, Gemini can invoke `cancel_subscription` directly if you grant the toolset permission. We recommend using the `tool_names` filter in the ADK to restrict this tool to authorized administrative agents.

Gemini's large context window easily handles large datasets returned by `list_subscription_orders` or `list_billing_charges`. The ADK parses the JSON response directly, allowing the model to reason over thousands of rows of billing details.

Yes, the Google ADK is fully compatible with Vertex AI. You can run the Recharge tools inside your Vertex agent pipelines to automate subscription updates based on predictive customer churn models.

All transactions involving customer details, active subscriptions, and billing charges are secured via ephemeral V8 sandboxes. Your data is processed in real time and never stored on Google's model training servers.

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