How to Use the Billit MCP in Google ADK

Q: How do I filter Billit tools for Google ADK?

Pass a list of allowed strings to the toolnames argument. This limits the agent to only the functions you choose.

Power your Google ADK agent with Billit tools to manage invoices directly against your cloud-native infrastructure.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Billit MCP to Google ADK

Create your Vinkius account to connect Billit 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.

GDPR Free for Subscribers

Setup Billit with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Sync Billit accounting with Google ADK

Use `list_invoices` and `list_expenses` to pull raw data into your Gemini-powered agent. It processes these lists using its massive context window. Your agent can now reason over financial trends alongside your BigQuery datasets. It turns static numbers into actionable insights.

Create records via Google ADK

Invoke `create_party` or `create_invoice` to write data back to your account. Your agent performs these writes as part of its standard execution flow. This MCP Server fits right into your existing Google Cloud stack. It treats your accounting records like any other database table.

Restrict tool access in Google ADK

Use the tool_names filter to limit what your agent can touch. You might only expose `get_company_info` if you want to keep write access restricted. This gives you granular control over your agent's capabilities. It runs safely on your infrastructure without unnecessary permissions.

Setup guide

Set up Billit 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 Billit 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="Billit_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Billit 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 Billit. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Billit now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Billit MCP in Google ADK

Absolutely. You configure the McpToolset to point at your server URL and add it to your LlmAgent instance.

Gemini models handle the large token counts returned by the list tools easily. You can dump entire invoice histories into the context.

It takes one line of code to add the toolset to your agent. You'll be making calls to the server in minutes.

Pass a list of allowed strings to the tool_names argument. This limits the agent to only the functions you choose.

The server uses ephemeral sessions that expire immediately after the request. Your customer names and addresses are never stored permanently by the MCP layer.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript