How to Use the Hiveage MCP in Google ADK
Connect your Google Cloud data to Hiveage billing using the Google Agent Development Kit for enterprise-scale automation.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Hiveage MCP to Google ADK
Create your Vinkius account to connect Hiveage 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.
Invoice Directly From BigQuery
This server connects your agent to Hiveage actions. Your Gemini agent can now query customer data in BigQuery, then use `list_customers` on the Hiveage side to find the matching billing profile. Because Gemini models support long contexts, your agent can analyze a customer's entire project history from your own database before deciding which items to bill for. It then uses tools like `send_invoice_email` to complete the workflow.
Run Billing Logic on Google Cloud
Deploy your financial agent right inside your existing Google Cloud project. You can trigger it with a Cloud Function or Pub/Sub message to perform routine accounting tasks, like checking for new payments with `list_invoice_payments`. Once a payment is confirmed, the agent can call `record_payment` to mark the Hiveage invoice as paid. This MCP Server makes Hiveage feel like a native part of your Google Cloud infrastructure.
Manage Estimates and Tax Profiles
Your agent can use the `get_estimate_details` tool to check the status of a quote in Hiveage. If the client has accepted it, the agent can then create a new invoice based on that estimate's line items. For companies with complex tax needs, the `list_tax_profiles` tool is critical. An agent can pull customer location data from your CRM, find the matching tax profile from Hiveage, and ensure every invoice is compliant.
Set up Hiveage MCP in Google ADK
Prerequisites
- Python 3.10+ installed
-
google-adkpackage (pip install google-adk) - Active Vinkius subscription with a valid endpoint token
- 1
Install Google ADK
Run
pip install google-adkto install the Agent Development Kit. MCP support is included via theMcpToolsetclass. - 2
Connect via SSE transport
Use
McpToolset.from_server()withSseServerParamspointing to your Vinkius endpoint. Replace[YOUR_TOKEN_HERE]with your token from cloud.vinkius.com. - 3
Create an LlmAgent
Pass the returned
mcp_toolslist directly toLlmAgent(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 Hiveage tools in your ADK agent.
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="Hiveage_agent",
model="gemini-2.0-flash",
instruction="You have access to Hiveage 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 Hiveage. 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 Hiveage MCP in Google ADK
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