How to Use the Alegra MCP in Google ADK

Q: Can Google ADK agents read Alegra estimates?

Yes, the agent uses the listestimates tool to fetch quote data. It then processes the text within its long-context window to summarize pending business.

Build enterprise agents on Google ADK that interact directly with your Alegra financial records.

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Connect Alegra MCP to Google ADK

Create your Vinkius account to connect Alegra 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 Alegra with Google ADK

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Sync Alegra into Google ADK workflows

Connect your Google ADK agent to your accounting backend. You can call `list_invoices` to pull your sales history into your local reasoning context. This keeps your agent informed about payment status. It uses `list_payments` to verify if a client is clear to receive more services.

Analyze Alegra inventory using Google ADK

Your agent uses `list_inventory_items` to scan your catalog. It compares these items against your BigQuery datasets for complex trend analysis. Fetch precise stock details with `get_item_details`. This allows your agent to report exact quantities to customers without manual lookups.

Automate Alegra quotes in Google ADK

Use `list_estimates` to monitor pending quotes. Your agent reviews these and triggers follow-up actions when a deal needs attention. It updates your accounting state by creating new records via the available tools. This keeps your financial pipeline moving while you focus on high-level strategy.

Setup guide

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

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Common questions about Alegra MCP in Google ADK

Initialize an McpToolset with your server URL. Add this toolset to your LlmAgent configuration to allow the model to see the available functions.

Yes, the agent uses the `list_estimates` tool to fetch quote data. It then processes the text within its long-context window to summarize pending business.

It bridges your accounting data with Google Cloud infrastructure. You can run complex reasoning over your financial logs using the power of Gemini.

Security relies on your endpoint token. All traffic is ephemeral, and the agent only requests the specific data points required for the current task.

The agent interacts with your invoices, inventory, and contact lists. This server treats your tax-ready records as read/write objects for the agent.

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