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Google ADKSDK
Google ADK
Azure Blob Container MCP Server

Bring Object Storage
to Google ADK

Learn how to connect Azure Blob Container to Google ADK and start using 4 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

MCP Inspector GDPR Free for Subscribers
Delete BlobGet BlobList BlobsPut Blob

Compatible with every major AI agent and IDE

ClaudeClaude
ChatGPTChatGPT
CursorCursor
GeminiGemini
WindsurfWindsurf
VS CodeVS Code
JetBrainsJetBrains
VercelVercel
+ other MCP clients
Azure Blob Container

What is the 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.

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.

Built-in capabilities (4)

delete_blob

Use with caution. Delete a file from the configured container

get_blob

Download and read the contents of a specific file

list_blobs

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

put_blob

Create or overwrite a file in the configured container

Why Google ADK?

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.

  • 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

G
See it in action

Azure Blob Container in Google ADK

AI AgentVinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Azure Blob Container and 4,000+ other MCP servers. One platform. One governance layer.

Teams that connect Azure Blob Container to Google ADK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

4,000+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself4,000+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Enterprise Security

Why teams choose Vinkius for Azure Blob Container in Google ADK

The Azure Blob Container 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. All 4 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Google ADK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Azure Blob Container
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

The Vinkius Advantage

How Vinkius secures Azure Blob Container for Google ADK

Every tool call from Google ADK to the Azure Blob Container MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Why limit the agent to a single Blob Container?

To enforce zero-trust security. An autonomous AI agent should not have the ability to read or delete files across your entire Azure Storage Account. By scoping it to a single container, you eliminate the risk of accidental or malicious data loss in other containers.

02

How does authentication work?

It uses Microsoft Entra ID (formerly Azure AD). You provide a Service Principal's Tenant ID, Client ID, and Client Secret. The MCP engine automatically handles the OAuth 2.0 token exchange securely.

03

Can I read binary files like images?

The current engine is optimized for text and JSON-based workflows. Reading large binary files directly into the LLM's context window is not recommended.

04

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.

05

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.

06

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.

07

McpToolset not found

Update: pip install --upgrade google-adk

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