How to Use the bluebarry.ai MCP in Google ADK

Q: Can I filter bluebarry.ai tools in Google ADK?

Yes, use the optional toolnames filter to restrict which functions your agent can see. This limits the blast radius of your agents.

Integrate bluebarry.ai into Google ADK to control your support automation and messaging from the Gemini ecosystem.

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Connect bluebarry.ai MCP to Google ADK

Create your Vinkius account to connect bluebarry.ai 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 bluebarry.ai with Google ADK

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Monitor support automations in Google ADK

The `list_automations` tool gives your Gemini agent a clear view of current workflows. You'll see what's running at a glance. Use `get_automation_status` to verify these tasks are actually finishing. Your Google ADK agent acts on this data instantly.

Analyze video data with Gemini

Pass video URLs to `analyze_youtube` so your agent can interpret visual content. It makes long-form media searchable for your enterprise data. This MCP Server feeds the result directly into your long-context reasoning loop. You'll find specific details in seconds.

Run WhatsApp messaging via Google ADK

Trigger `send_whatsapp` whenever your agent identifies a support issue. It turns your agent into an active communicator. This keeps your Google Cloud infrastructure connected to customer devices. You'll manage the entire flow inside your agent logic.

Setup guide

Set up bluebarry.ai 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 bluebarry.ai 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="bluebarry.ai_agent",
    model="gemini-2.0-flash",
    instruction="You have access to bluebarry.ai 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 bluebarry.ai. 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 bluebarry.ai MCP in Google ADK

It works natively using the McpToolset. Just point the server parameters to your endpoint and include it in your LlmAgent tool list.

Yes, use the optional tool_names filter to restrict which functions your agent can see. This limits the blast radius of your agents.

The tools operate independently of the compute environment, so they run fine on Vertex AI. You just need to ensure the server URL is reachable.

Pass the toolset as an argument to your agent instance. The ADK will map the server methods to callable Python functions.

Your video access keys are scoped only to the current execution context. We employ short-lived tokens to ensure the Google ADK agent has zero persistent access to your private content.

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