How to Use the Sharpei MCP in Google ADK

Q: How does Sharpei integrate with Google ADK for complex billing logic?

The getsubscription tool pulls the necessary payment data. Your agent uses this specific, reliable data point to feed into its reasoning chain within Vertex AI.

Q: Can I use Sharpei and the Google ADK to see all active store applications?

Yes. The listapplications tool gives you a full list of every application, allowing your agent to audit the merchant's entire tech stack.

Q: What if I need to check document details using Sharpei and the Google ADK?

You use getdocument or listdocuments. This lets your agent pull specific files needed for compliance checks, which can then be loaded into BigQuery.

Q: Does Sharpei support webhook listing when using the Google ADK?

Absolutely. The listwebhooks tool gives a clear list of all webhooks, helping your agent confirm that data pipelines are correctly configured for streaming into Google Cloud.

Q: If I need to check data privacy when using Sharpei and the Google ADK, what specific information is exposed?

This MCP Server touches application documents. Using getapplication helps your agent understand the scope of access by detailing each connected application.

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Setup Sharpei with Google ADK

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Perplexity Vinkius runs on Gemini

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Model Payment Cycles

`get_subscription` retrieves detailed records of any subscription, including payment dates and renewal types. This is perfect when your Gemini model needs to reason about future revenue streams. Need a bulk view? Call `list_subscriptions`. It provides comprehensive data on all active plans, letting your agent structure reports based on recurrence frequency.

Audit Store Connections

`list_applications` returns every application connected to the merchant store. Your Google ADK agent can use this list to map out dependencies and identify orphaned services. You'll also get a complete rundown of webhooks via `list_webhooks`. This helps your enterprise workflow ensure that data moves correctly from Shopify into BigQuery.

Manage Setup & Verification

`create_application` allows the agent to set up new verification applications. Following this, `get_verification_status` confirms if the setup passed checks. This is critical for maintaining data integrity. If you need specifics on a document, `get_document` pulls the details. Your agent can then use that information in its long-context reasoning process.

Setup guide

Set up Sharpei 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 Sharpei 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="Sharpei_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Sharpei tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Sharpei MCP in Google ADK

The `get_subscription` tool pulls the necessary payment data. Your agent uses this specific, reliable data point to feed into its reasoning chain within Vertex AI.

Yes. The `list_applications` tool gives you a full list of every application, allowing your agent to audit the merchant's entire tech stack.

You use `get_document` or `list_documents`. This lets your agent pull specific files needed for compliance checks, which can then be loaded into BigQuery.

Absolutely. The `list_webhooks` tool gives a clear list of all webhooks, helping your agent confirm that data pipelines are correctly configured for streaming into Google Cloud.

This MCP Server touches application documents. Using `get_application` helps your agent understand the scope of access by detailing each connected application.

Use it with your favorite AI tools

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