How to Use the Moneybird MCP in Google ADK

Q: How do I configure the Moneybird MCP Server within my Google ADK agent?

Use the McpToolset class with the HTTP transport pointing to your Vinkius MCP server URL. Pass this toolset directly into your Google ADK LlmAgent initialization to expose the Moneybird tools to Gemini.

Q: How does Gemini use the Moneybird MCP server toolset in Google ADK for long-context tasks?

Gemini pulls large datasets via Moneybird listfinancialmutations and holds the entire transaction history in its active context. This allows the Google ADK agent to perform highly complex multi-step financial audits in a single turn.

Deploy Google ADK agents to cross-reference Moneybird ledger data with BigQuery using Gemini's massive long-context window.

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Connect Moneybird MCP to Google ADK

Create your Vinkius account to connect Moneybird 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 Moneybird with Google ADK

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Analyze Ledger Trends with Google ADK

The `list_ledger_accounts` tool exposes your raw Moneybird balance sheet structure to Google ADK for deep financial analysis. By pulling entire histories via `list_ledger_accounts` and `list_financial_mutations`, your Google ADK agent can spot deep Moneybird spending patterns using Gemini's massive context window. This MCP setup lets you run complex Moneybird financial analysis using Google ADK without exporting CSVs. The Google ADK agent reads your raw Moneybird transaction ledger, matches it against your big data in BigQuery, and highlights anomalies in real time.

Audit Purchase and Sales Invoices at Scale

The `list_purchase_invoices` tool retrieves your incoming Moneybird bills so your Google ADK agent can audit expenses against your budget. Your Google ADK agent runs `list_purchase_invoices` and `list_invoices` to compare what you spent in Moneybird against what you billed. Because the Google ADK agent runs on Google Cloud infrastructure, it can process thousands of Moneybird documents in seconds. It uses `get_invoice` to pull specific Moneybird details and flags any discrepancies directly to your Gemini-powered dashboard.

Manage Recurring Revenue Pipelines

The `list_recurring_invoices` tool monitors your active Moneybird subscription templates to forecast upcoming revenue through Google ADK. By calling `list_recurring_invoices` and `list_estimates`, the Google ADK agent monitors your expected Moneybird cash flow for the upcoming quarter. When a contract changes, the Google ADK agent uses `list_workflows` to find the correct Moneybird template and updates the contact's billing path. It ensures your recurring Moneybird books match your actual operational agreements managed by Gemini.

Setup guide

Set up Moneybird 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 Moneybird 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="Moneybird_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Moneybird tools via MCP.",
    tools=mcp_tools,
)

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

Use the `McpToolset` class with the HTTP transport pointing to your Vinkius MCP server URL. Pass this toolset directly into your Google ADK `LlmAgent` initialization to expose the Moneybird tools to Gemini.

Yes, you can use the optional tool names filter in the Google ADK configuration. This lets you block Gemini's access to Moneybird `list_ledger_accounts` while keeping `create_contact` active for your sales pipelines.

Gemini pulls large datasets via Moneybird `list_financial_mutations` and holds the entire transaction history in its active context. This allows the Google ADK agent to perform highly complex multi-step financial audits in a single turn.

The server automatically queues and retries requests for tools like Moneybird `list_invoices` within your Google ADK pipeline. Your Gemini agent won't crash or lose its state when processing heavy accounting workloads.

Yes, all Moneybird contact and purchase invoice data processed by the server is ephemeral and runs inside isolated V8 sandboxes. Your Google ADK agent data is never stored or used to train public LLM models.

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