How to Use the BILL (Bill.com) MCP in Google ADK

Q: Can I filter BILL (Bill.com) tools in Google ADK?

Use the toolnames filter during initialization. This restricts your agent to only the specific financial functions you want it to perform.

Connect BILL (Bill.com) to Google ADK to power your enterprise financial agents with real-time data.

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Connect BILL (Bill.com) MCP to Google ADK

Create your Vinkius account to connect BILL (Bill.com) 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 (Bill.com) with Google ADK

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Invoicing workflows for Google ADK

Your agent scans your receivables by calling `list_invoices` through the Google ADK toolset. It identifies overdue items instantly without human intervention. When a specific invoice needs review, `get_invoice` fetches the payload. Your Gemini-based model parses the data to determine the next logical step.

Accounting visibility in Google ADK

Keep your ledger in sync by using `list_accounts` as a native tool in your agent workflow. It provides the context your agent needs to categorize transactions correctly. Everything happens inside your Google Cloud environment. You avoid moving data to external services unnecessarily.

Vendor record access for Google ADK

Query your entire vendor list using `list_vendors` when your agent needs to verify a billing entity. It parses the resulting list to find the correct vendor ID. Fetching the specific details follows with `get_vendor`. Your agent gets the exact address and contact info it needs to build reports.

Setup guide

Set up BILL (Bill.com) 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 (Bill.com) 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 (Bill.com)_agent",
    model="gemini-2.0-flash",
    instruction="You have access to BILL (Bill.com) tools via MCP.",
    tools=mcp_tools,
)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by BILL (Bill.com). 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 BILL (Bill.com) MCP in Google ADK

You define an McpToolset and pass it to your LlmAgent. The framework handles the transport between your Google environment and the server.

Yes, you can feed thousands of retrieved bill records into a Gemini model. It handles the context window while you query the specific financial data.

Vinkius handles authentication via an endpoint token. Your agent interacts with the server without ever seeing your raw login credentials.

Use the tool_names filter during initialization. This restricts your agent to only the specific financial functions you want it to perform.

Your financial data remains in the source system. The Vinkius sandbox acts as a temporary bridge for your agent to read the info.

Use it with your favorite AI tools

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