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Vinkius

Azure Blob Container Connector for AI agents.

4 live capabilities

Securely manage and persist files in a dedicated Azure cloud bucket.

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AI Agent

Why people use Azure Blob Container

Azure Blob Container Security for Cloud Data Management

This Connector changes that by creating a walled garden. You point it at one specific container, and that's all the agent can see. It gives your AI a dedicated workspace where it can save reports and read docs without ever touching your sensitive infrastructure.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • Visual Studio Code
  • Windsurf

What Vinkius changes

You get a secure, cloud-based hard drive for your AI without exposing the rest of your cloud account.

Use it from Claude, ChatGPT, Cursor or another AI client you already have.

One account · 6,100+ Connectors

  1. Real-world use case 01

    Automated Report Archiving

    A user asks the agent to summarize a week of logs.

  2. Real-world use case 02

    Document Analysis

    A user provides a path to a large CSV.

  3. Real-world use case 03

    Dynamic Asset Storage

    An agent generates several images and needs to keep them available.

Complete set · 4capabilities

The complete Azure Blob Container capability set.

These are the exact actions your AI can choose when you ask it to work with Azure Blob Container.

Capability set01 / 01

01—04

4 capabilities in this set.

Part of 4 available through Azure Blob Container.

  1. 01 Capability

    Delete blob

    Remove a specific file from your container. This is useful for cleaning up old reports or temporary data.

  2. 02 Capability

    Get blob

    Download and read the contents of a specific file. Use this when your agent needs to analyze a specific document.

  3. 03 Capability

    List blobs

    See everything inside your container, with optional filtering. This helps the agent navigate your file structure.

  4. 04 Capability

    Put blob

    Create a new file or update an existing one. This is how your agent saves its work or persists its state.

Set up in minutes

One URL. Then ask Azure Blob Container to work.

Claude and ChatGPT only need the Connector URL. Copy it once, add it in settings, and use Azure Blob Container from the conversation.

Choose your client

Live preview
Advanced clients IDE · CLI

Claude · Web + desktop

Official guide ↗

Connector URL · ready to paste

Streamable HTTP
https://edge.vinkius.com/vk_preview_KegC9wyMjVWOSEhCaSwb9DkXf1hOZWEJE3EaqGTJ/mcp
  1. Step 01

    Open Connectors

    In Claude Web or Claude Desktop, open Settings and choose Connectors.

  2. Step 02

    Add the URL

    Choose Add custom connector, name it Azure Blob Container, and paste the URL above.

  3. Step 03

    Turn it on in chat

    Select +, open Connectors, and enable Azure Blob Container for the conversation.

Where the request belongs

Work Azure Blob Container can move forward.

Built around the request

This is for the cloud engineer who needs to give an AI agent a workspace without handing over admin keys. It's for anyone who needs to move beyond local file limits while keeping data locked behind enterprise security.

01

Cloud Architect

Sets up scoped permissions so an AI agent can archive logs without touching production databases.

02

Data Engineer

Uses the agent to process a batch of files and save the final results to a specific cloud bucket.

03

DevOps Engineer

Automates file movements between environments by letting the agent handle the cloud storage directly.

Build the capability set

Add more capabilities.

Each Connector adds new actions and data without changing how you work.

Browse Connectors
Google Cloud Storage Bucket logo
01 4 capabilities

Google Cloud Storage Bucket

This MCP does exactly one thing: it manages files in a single Google Cloud Storage Bucket. That's its only function, and nothing else. Incredible for giving your AI secure file storage.

View Connector
Azure Cosmos DB Container logo
02 4 capabilities

Azure Cosmos DB Container

This MCP does exactly one thing: it manages documents in a single Azure Cosmos DB Container. That's its only function, and nothing else. Incredible for giving your AI a secure NoSQL database.

View Connector
Google Cloud Storage logo
03 12 capabilities

Google Cloud Storage

Manage your GCS buckets and objects. list files, upload data, and audit permissions via AI.

View Connector
Amazon S3 Bucket logo
04 7 capabilities

Amazon S3 Bucket

Single-bucket object storage for AI agents. scoped access to one S3 bucket for secure, focused data operations.

View Connector
Box logo
05 10 capabilities

Box

Store, share, and collaborate on files securely with enterprise-grade cloud content management and governance controls.

View Connector
Backblaze B2 logo
06 10 capabilities

Backblaze B2

Manage Backblaze B2 Cloud Storage via AI. control buckets, file versions, objects, and access rules autonomously.

View Connector

Bring your own AI

Change the model, client or framework. Keep Azure Blob Container connected.

  • Claude
  • ChatGPT
  • Gemini
  • Cursor
  • VS Code
  • Windsurf
  • ZCode
  • Cline
  • Zed
  • Continue
  • Kiro
  • Roo Code
  • Zencoder
  • Goose
  • Void
  • Augment Code
  • Amp
  • Qodo
  • Tabnine
  • Pieces
  • Sourcegraph Cody
  • JetBrains
  • Warp
  • Amazon Q
  • Antigravity
  • BoltAI
  • Raycast
  • Jan
  • LM Studio
  • AnythingLLM
  • Open WebUI
  • Msty
  • Cherry Studio
  • LibreChat
  • TypingMind
  • Chorus
  • 5ire
  • n8n
  • LangChain
  • LlamaIndex
  • CrewAI
  • Vercel AI SDK

Before you connect

Questions about Azure Blob Container.

The practical details behind the request, access and result.

Can the Azure Blob Container MCP access my other buckets?

No. This Connector is strictly scoped to a single container that you define during setup. This ensures your AI agent can't see or touch any other parts of your cloud storage.

Is it safe to give my AI agent access to my cloud storage?

Yes, because this Connector uses scoped access. Instead of giving the agent full permissions, you're only giving it permission to interact with one specific container.

Does this work with my existing Azure account?

Yes, it integrates directly with your Azure environment using Entra ID Service Principals, so it fits into your existing security and identity framework.

Can my agent create folders?

Yes, by using specific prefixes when saving or listing files, your agent can organize data into a virtual folder structure within the container.

How does the AI remember my files?

Your agent uses the capability to save data to the cloud. When you start a new session, it can fetch that same data back to continue where it left off.

Can I delete files using the Azure Blob Container MCP?

Yes, the Connector includes a specific capability for deleting files, allowing your agent to clean up temporary data or remove old reports as needed.

Is there a limit to how many files I can store?

No, you are limited only by your Azure subscription's storage capacity, not by the Connector itself.

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.

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 Connector engine automatically handles the OAuth 2.0 token exchange securely.

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.

One connection away

Give your agent a direct line to Azure Blob Container.

Connect Azure Blob Container once. Keep it beside 6,100+ managed Connectors when the next task needs more.

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