How to Use the Azure Blob Container MCP in Google ADK

Q: How to link an Azure Blob Container to a Google ADK agent?

You provide the Vinkius server URL to the McpToolset. Google ADK then maps the tools to your agent's available actions.

Q: Can my Google ADK agent delete files from an Azure Blob Container?

Yes, the deleteblob tool is exposed by default. You should implement a tool filter if you want to disable this capability.

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Connect Azure Blob Container MCP to Google ADK

Create your Vinkius account to connect Azure Blob Container 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 Azure Blob Container with Google ADK

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Storage interaction via Google ADK

Your agent uses `get_blob` to pull data into the Gemini context window. Since you have a 1M+ token capacity, you can ingest raw files directly for analysis. Use `put_blob` to save the results of your processing back to the container. It writes your output as a new file, keeping the process transactional.

Google ADK tool filtering

You can restrict the available tools by passing a filter to the `McpToolset`. This prevents your agent from accidentally calling `delete_blob` if you only want it to read files. It keeps your agent's decision space narrow. You only expose what is necessary for the task.

Organize data with Google ADK

The `list_blobs` tool lets you browse your container structure. You set a prefix to drill down into specific folders. This is helpful when your agent needs to iterate through a batch of related files. It turns your storage into a queryable data source.

Setup guide

Set up Azure Blob Container 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 Azure Blob Container 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="Azure Blob Container_agent",
    model="gemini-2.0-flash",
    instruction="You have access to Azure Blob Container tools via MCP.",
    tools=mcp_tools,
)

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Common questions about Azure Blob Container MCP in Google ADK

You provide the Vinkius server URL to the `McpToolset`. Google ADK then maps the tools to your agent's available actions.

The HTTP transport is fast enough for most agentic workflows. Your Google ADK agent will see the files as soon as the server responds.

Yes, the `delete_blob` tool is exposed by default. You should implement a tool filter if you want to disable this capability.

The data stays between your container and the agent runtime. Google ADK processes the file contents strictly in memory.

Your file contents are never logged in the Vinkius infrastructure. The server acts as a pass-through for your Google ADK agent only.

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