How to Use the Wave Accounting MCP in Google ADK

Q: What are the steps to list customer details using Google ADK for Wave Accounting?

The agent first runs listaccountingcustomers to find the ID, and then calls getcustomerdetails with that specific ID. This is essential for building reports in BigQuery.

Q: If I use Google ADK, can I update customer data in Wave Accounting?

You absolutely can. Use the updatecustomerprofile tool and pass the unique customer ID to modify details like names or emails within Wave Accounting.

Access Wave Accounting data using the Google ADK for enterprise agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Wave Accounting MCP to Google ADK

Create your Vinkius account to connect Wave Accounting 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 Wave Accounting with Google ADK

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage Client Profiles

The `create_accounting_customer` tool lets your agent add a new user, requiring only their name and email to establish a record in Wave Accounting. You can retrieve full profiles using `get_customer_details` or run `list_accounting_customers` to see every existing account. If an existing customer needs changes—a phone number update, maybe—the agent uses `update_customer_profile`, supplying the necessary unique customer ID. Be careful deleting records; `delete_accounting_customer` is irreversible.

Billing Workflows

Agents can build billing history starting with `list_accounting_invoices`. To generate a bill, the agent first calls `create_draft_invoice`, providing both the customer ID and the line items as a JSON array. This builds the invoice in Wave Accounting. Once everything looks good, the process continues by calling `approve_draft_invoice` to finalize the billing document.

Data Retrieval and Cleanup

Want to know what's going on with invoicing? The toolset supports `get_invoice_details` for a deep dive into one invoice, or you can list all of them using `list_accounting_invoices`. You also have cleanup tools available. If an agent needs to delete a billing draft, it uses `delete_draft_invoice`. Keep in mind this only works on unfinalized drafts; saved/paid invoices are off-limits.

Setup guide

Set up Wave Accounting 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 Wave Accounting 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="Wave Accounting_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Wave Accounting 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 Wave Accounting. 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 Wave Accounting 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 Wave Accounting MCP in Google ADK

The agent framework lets you pass the MCP toolset directly to your LlmAgent. Your agents then interact with Wave Accounting's tools, like `get_customer_details`, as if they were native functions.

Yes. The agent can handle the full cycle: listing invoices with `list_accounting_invoices` and then creating a new draft using `create_draft_invoice`. This is a core capability.

The agent first runs `list_accounting_customers` to find the ID, and then calls `get_customer_details` with that specific ID. This is essential for building reports in BigQuery.

You absolutely can. Use the `update_customer_profile` tool and pass the unique customer ID to modify details like names or emails within Wave Accounting.

The server touches customer IDs, customer names, and email addresses. These are key identifiers for managing records in Wave Accounting.

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