How to Use the Bloomreach MCP in Google ADK

Q: How do I register the Bloomreach MCP Server inside Google ADK?

Use the McpToolset class with your Vinkius HTTP transport URL. Pass this toolset directly to your LlmAgent instance to make all ten tools instantly available to Gemini.

Q: Can I restrict which Bloomreach tools Google ADK can access?

Yes, you have complete control over tool exposure. The McpToolset constructor supports an optional tool names filter. Use this to expose only safe tools like listcampaigns while blocking access to sensitive customer data tools.

Connect Bloomreach customer data directly to your Gemini models using the Google ADK and our managed MCP Server.

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Connect Bloomreach MCP to Google ADK

Create your Vinkius account to connect Bloomreach 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 Bloomreach with Google ADK

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Analyze customer profiles with Google ADK

This MCP Server exposes `get_customer_properties` and `list_attributes` to pull user profiles directly into Gemini's massive context window. You can feed years of interaction history into the model to find hidden churn risks. Combining these tools with BigQuery data lets your agent build a complete view of user behavior. The agent pulls the raw attributes, matches them against cloud data warehouses, and updates your marketing strategy on the fly.

Track live marketing campaigns and events

Use `list_campaigns` and `list_event_types` to monitor how users interact with your active marketing flows. The agent inspects which events trigger specific campaigns and flags gaps in your tracking setup. Because Gemini handles long-context reasoning, it can compare dozens of event types against active campaigns simultaneously. This helps you spot conflicting triggers without writing complex SQL join queries.

Map catalog structures to Vertex AI models

Retrieve your entire product taxonomy using `list_catalogs` and `list_properties` directly from your Google ADK agent. The model learns how your inventory is structured to improve its search and recommendation accuracy. Once the agent understands the catalog properties, it can call `get_catalog_items` to pull specific SKU details. This ensures your generative product descriptions always use the correct, up-to-date catalog attributes.

Setup guide

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

Use the `McpToolset` class with your Vinkius HTTP transport URL. Pass this toolset directly to your `LlmAgent` instance to make all ten tools instantly available to Gemini.

Yes, you have complete control over tool exposure. The `McpToolset` constructor supports an optional tool names filter. Use this to expose only safe tools like `list_campaigns` while blocking access to sensitive customer data tools.

Gemini's large context window allows the agent to process extensive data returned by `get_catalog_items`. The ADK manages the HTTP transport efficiently, making sure large payloads do not cause timeouts.

Absolutely. You can write custom tools in your ADK project to query BigQuery, then combine them with this MCP Server. The agent will coordinate both sources to enrich your marketing reports.

No, your catalog data remains completely private. Your catalog data and customer attributes are processed within your isolated Google Cloud tenant. Vinkius secures the MCP connection, ensuring no raw data is used to train public foundation models.

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