How to Use the BILL Spend & Expense MCP in Google ADK

Sync BILL Spend & Expense with Google ADK to query corporate spending data directly within your Gemini-powered enterprise infrastructure.

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Connect BILL Spend & Expense MCP to Google ADK

Create your Vinkius account to connect BILL Spend & Expense 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 BILL Spend & Expense with Google ADK

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Query BILL Spend & Expense via Google ADK

The `list_budgets` and `list_cards` tools allow your agent to fetch spending limits and card status. You can then pipe this directly into BigQuery for long-term analysis. Your agent handles these requests using the McpToolset interface. It keeps your financial data accessible within the broader Google Cloud ecosystem.

Analyze transactions and reimbursements using Google ADK

Use `list_transactions` and `list_reimbursements` to pull granular expense data into your agent's context window. Gemini processes these lists to identify patterns in your company spending. This method allows for deep reasoning over large transaction sets. You get clear insights without manual exports or spreadsheet work.

Audit user activity with Google ADK

The `list_users` tool exposes your current user directory to the agent. It helps you verify which employees are attached to specific department budgets. Your agent uses this to enforce granular spend policies. You can restrict which tools are exposed by applying a filter to the toolset.

Setup guide

Set up BILL Spend & Expense 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 BILL Spend & Expense 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="BILL Spend & Expense_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BILL Spend & Expense tools via MCP.",
    tools=mcp_tools,
)

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Common questions about BILL Spend & Expense MCP in Google ADK

You define a McpToolset using the server URL and pass it to your LlmAgent. The framework handles the communication between the Gemini model and the financial data.

Your agent retrieves transaction records that you can then write to your tables. This keeps your central data warehouse up to date with real-time spend.

The connection uses encrypted transport protocols to move data from the server to your agent. Your sensitive financial records exist only within the ephemeral memory of the agent process.

Yes, you can pull large lists of transactions and budgets into the context window. The agent then reasons over the full set of financial activities.

You can specify which tools are available to your agent by using the optional tool_names filter. This limits the agent to only the data you want it to see.

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