How to Use the Blueshift MCP in Google ADK

Q: Can I filter Blueshift tools in Google ADK?

Yes. Use the toolnames filter to restrict which functions your agent can call. This keeps your agent focused on specific tasks like campaign reporting.

Connect Blueshift to Google ADK to power your enterprise agents with 1M+ token context windows.

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Connect Blueshift MCP to Google ADK

Create your Vinkius account to connect Blueshift 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 Blueshift with Google ADK

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Query campaigns using Google ADK

The `list_campaigns` and `get_campaign_detail` tools allow your agent to scan your entire marketing footprint. It brings deep campaign data into your Gemini-powered workflows. Since you are working in Google Cloud, the agent can correlate these marketing results with your BigQuery datasets. It makes for a cohesive data strategy.

Fetch catalog data for Google ADK agents

Your agent uses `get_catalog_items` to pull specific product details right when it needs them. It keeps the agent's knowledge base fresh without manual updates. This works well with long-context models. The agent keeps track of the entire catalog state across its massive token window.

Sync segments in Google ADK

Use `list_segments` to pull target groups into your agent's logic. It allows the agent to tailor its output based on your live Blueshift segments. The toolset handles the transport while your agent does the heavy lifting. You manage the entire process from your Google Cloud environment.

Setup guide

Set up Blueshift 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 Blueshift 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="Blueshift_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Blueshift 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 Blueshift. 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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Common questions about Blueshift MCP in Google ADK

Install the framework and use McpToolset to point your agent at the server endpoint. You pass this toolset directly into the LlmAgent constructor.

Yes. Use the tool_names filter to restrict which functions your agent can call. This keeps your agent focused on specific tasks like campaign reporting.

It supports both Stdio and HTTP transports. You choose the one that fits your Google Cloud infrastructure requirements.

The Gemini models paired with this framework handle over 1M tokens. This lets your agent process large lists from `list_campaigns` without hitting limits.

Your user event history is handled via encrypted transit. We treat all PII as transient data that clears once the agent finishes its task.

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