Azure Blob Container MCP Server for Google ADKGive Google ADK instant access to 4 tools to Delete Blob, Get Blob, List Blobs, and more

Name: Azure Blob Container
Price: 29 USD
Availability: InStock
Rating: 5.0 (1 reviews)
Author: Vinkius

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Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add Azure Blob Container as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.

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The Azure Blob Container MCP Server for Google ADK is a standout in the Industry Titans category — giving your AI agent 4 tools to work with, ready to go from day one.

Built for AI Agents by Vinkius

Vinkius delivers Streamable HTTP and SSE to any MCP client

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python

from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
    StreamableHTTPConnectionParams,
)

# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
    connection_params=StreamableHTTPConnectionParams(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
    )
)

agent = Agent(
    model="gemini-2.5-pro",
    name="azure_blob_container_agent",
    instruction=(
        "You help users interact with Azure Blob Container "
        "using 4 available tools."
    ),
    tools=[mcp_tools],
)

Fully ManagedVinkius Servers

60%Token savings

High SecurityEnterprise-grade

IAMAccess control

EU AI ActCompliant

DLPData protection

V8 IsolateSandboxed

Ed25519Audit chain

<40msKill switch

Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Azure Blob Container MCP Server

This server strips away dangerous global Azure permissions. It gives your AI agent one surgical superpower: the ability to read, write, and list files inside one specific Blob Container.

Google ADK natively supports Azure Blob Container as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 4 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.

By strictly scoping access, your AI can safely persist data, analyze documents, and manage its own workload without ever touching your critical cloud infrastructure.

The Superpowers

Absolute Containment: The agent is locked to a single container. It cannot list other containers or delete your company's production backups.
Native Azure Integration: Direct, high-performance interactions with Azure Blob Storage using Entra ID Service Principals.
Plug & Play File System: Instantly gives your agent a massive cloud hard drive to store its memories, generated assets, and processed reports.

The Azure Blob Container MCP Server exposes 4 tools through the Vinkius. Connect it to Google ADK in under two minutes — credentials fully managed, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 4 Azure Blob Container tools available for Google ADK

When Google ADK connects to Azure Blob Container through Vinkius, your AI agent gets direct access to every tool listed below — spanning object-storage, file-management, cloud-security, and more. Every call runs in a secure, isolated environment with full audit visibility. Beyond a simple connection, you get real-time monitoring of agent activity, enterprise governance, and optimized token usage.

delete

Delete blob on Azure Blob Container

Use with caution. Delete a file from the configured container

get

Get blob on Azure Blob Container

Download and read the contents of a specific file

list

List blobs on Azure Blob Container

You can optionally provide a prefix to filter by a specific "folder" path. List files (blobs) inside the configured Azure Blob Container

put

Put blob on Azure Blob Container

Create or overwrite a file in the configured container

Connect Azure Blob Container to Google ADK via MCP

Follow these steps to wire Azure Blob Container into Google ADK. The entire setup takes under two minutes — your credentials stay safe behind Vinkius.

Install Google ADK

Run pip install google-adk

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Create the agent

Save the code above and integrate into your ADK workflow

Explore tools

The agent will discover 4 tools from Azure Blob Container via MCP

Why Use Google ADK with the Azure Blob Container MCP Server

Google ADK provides unique advantages when paired with Azure Blob Container through the Model Context Protocol.

Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution

Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with Azure Blob Container

Production-ready features like session management, evaluation, and deployment come built-in. not bolted on

Seamless integration with Google Cloud services means you can combine Azure Blob Container tools with BigQuery, Vertex AI, and Cloud Functions

Azure Blob Container + Google ADK Use Cases

Practical scenarios where Google ADK combined with the Azure Blob Container MCP Server delivers measurable value.

Enterprise data agents: ADK agents query Azure Blob Container and cross-reference results with internal databases for comprehensive analysis

Multi-modal workflows: combine Azure Blob Container tool responses with Gemini's vision and language capabilities in a single agent

Automated compliance checks: schedule ADK agents to query Azure Blob Container regularly and flag policy violations or configuration drift

Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including Azure Blob Container

Example Prompts for Azure Blob Container in Google ADK

Ready-to-use prompts you can give your Google ADK agent to start working with Azure Blob Container immediately.

"List all files in the 'invoices/' folder."

"Read the contents of 'config.json'."

"Save this summary as 'reports/summary.txt'."

Troubleshooting Azure Blob Container MCP Server with Google ADK

Common issues when connecting Azure Blob Container to Google ADK through Vinkius, and how to resolve them.

McpToolset not found

Update: pip install --upgrade google-adk

Azure Blob Container + Google ADK FAQ

Common questions about integrating Azure Blob Container MCP Server with Google ADK.

How does Google ADK connect to MCP servers?

Import the MCP toolset class and pass the server URL. ADK discovers and registers all tools automatically, making them available to your agent's tool-use loop.

Can ADK agents use multiple MCP servers?

Yes. Declare multiple MCP tool providers in your agent configuration. ADK merges all tool schemas and the agent can call tools from any server in a single turn.

Which Gemini models work best with MCP tools?

Gemini 2.0 Flash and Pro models both support function calling required for MCP tools. Flash is recommended for latency-sensitive use cases, Pro for complex reasoning.