How to Use the Alegra MCP in Google ADK

Connect your Google ADK agents to your core business data with this specialized MCP server.

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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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Query business data within Google ADK

Your agent can now pull live contact info using `list_contacts` and `get_contact_details`. It maps these records directly into your Gemini context window. Because Google ADK handles large token counts, you can feed entire invoice histories into the agent. It parses the data to provide deep insights without manual intervention.

Manage stock levels through Google ADK

Use `list_inventory_items` to give your agent a live view of your warehouse. It makes decisions based on real-time count data. This integration works with your existing Google Cloud infrastructure. Your agent acts as a bridge between your inventory database and your operational tasks.

Process financial records with Google ADK

Your agent uses `list_invoices` and `list_payments` to reconcile your books. It filters by date to focus only on the current quarter. Everything runs through the standard toolset interface. You define the logic, and the agent executes the specific tools to finish the job.

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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Why Choose Vinkius

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Real-time monitoring

Live

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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 Alegra MCP in Google ADK

Use the McpToolset class to define your connection. You can filter tool names if you want to limit what the agent sees.

Yes, the server provides the data, and the Gemini model handles the heavy analysis. It easily processes long lists of invoices.

You can write custom logic in your agent to pass data from the server to your BigQuery tables. The tools provide the raw information you need.

We use standard HTTP/Stdio transports with token-based auth. Your agent manages the handshake.

Contact profiles are transmitted over TLS. No data is stored on our servers after your agent session ends.

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

Mastra AI sdk-typescript

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