How to Use the Uniconta MCP in Google ADK

Q: Can I query specific invoices in Uniconta with Google ADK?

Yes, you can use listdebtorinvoices to get a list of outstanding or past-due invoices. This data is readily available for your agent's analysis.

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Connect Uniconta MCP to Google ADK

Create your Vinkius account to connect Uniconta 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 Uniconta with Google ADK

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Manage Customer and Vendor Records

To get basic customer information, your agent calls `list_debtors`. You can also pull specific details about a single account using `get_debtor_details`. The system lists all vendors via `list_creditors`, which is great for cross-referencing data already in BigQuery.

Audit Financial Movements

Need to track money flow? Use `list_daily_journals` to get a full history of general ledger entries. You can also see what accounts exist using `list_gl_accounts`. This mechanism lets your agent perform complex financial reasoning against Uniconta's core accounting data.

View Products and Workforce Data

The agent retrieves the entire product catalog list with `list_inventory_items`. This ensures any process that requires physical goods has accurate context. You can also pull employee lists using `list_employees`, which is useful if your Gemini model needs to check payroll rules.

Setup guide

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

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Common questions about Uniconta MCP in Google ADK

The Google ADK lets you embed the MCP Server directly into your agent workflow on Google Cloud. Your Gemini model can then reason over results from tools like `list_debtors` and act accordingly.

Since you're already in the Google ecosystem, this setup means your agent can perform long-context reasoning against both the MCP Server data and BigQuery records. It keeps all your enterprise tools together.

You can perform full CRUD operations on core ERP entities like inventory, employees, and customer records using the exposed tools. The agent handles the necessary calls automatically.

Yes, you can use `list_debtor_invoices` to get a list of outstanding or past-due invoices. This data is readily available for your agent's analysis.

The server provides access to debtor details, GL accounts, and journals. Specifically, you can use `list_gl_accounts` to validate the structure of your books.

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