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How to Use the Albacross MCP in Google ADK

Connect Albacross to Google ADK to process intent data directly inside your BigQuery-backed agent infrastructure.

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Google ADK

Connect Albacross MCP to Google ADK

Create your Vinkius account to connect Albacross 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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Identify companies using Google ADK tools

The `identify_company_by_ip` tool converts raw traffic data into company profiles. Your Google ADK agent parses this output to enrich your existing customer records. Stop guessing who visits your site. This workflow gives your agent the context needed to personalize B2B outreach automatically.

Query lead details with Google ADK

Use `get_lead_details` to pull comprehensive data on specific companies identified by Albacross. Your agent can then pipe this directly into your Vertex AI processes. It removes the need for manual lookups. The agent acts on the data as soon as it arrives, keeping your pipeline moving.

Organize your marketing data

Call `list_industries` to map leads to specific sectors for better targeting. Your Google ADK agent uses these categories to prioritize high-value accounts. You can also check `list_workflows` to verify your current automation status. It keeps your agent informed of what is happening on the platform.

Setup guide

Set up Albacross 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. 1

    Install Google ADK

    Run pip install google-adk to install the Agent Development Kit. MCP support is included via the McpToolset class.

  2. 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. 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. 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 Albacross 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="Albacross_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Albacross tools via MCP.",
    tools=mcp_tools,
)

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Albacross. 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

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Real-time monitoring

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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

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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 Albacross MCP in Google ADK

Initialize a McpToolset using your server URL and pass it to your LlmAgent. The framework handles the connection so you can start calling tools immediately.
Gemini models handle large context windows well. You can pull lists of leads and process them in bulk without worrying about hitting memory limits.
Use the tool_names filter during initialization. This limits the agent to only the functions you want it to perform, like identification or listing.
Invoke the `get_usage_stats` tool. It returns your current consumption levels so your agent can adjust its activity based on available credits.
All traffic identification occurs through secure, ephemeral transport layers. The server never logs your raw IP data to persistent storage, ensuring visitor privacy is maintained.

Start using the Albacross MCP today

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