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Connect Azure Blob Container to ChatGPT, Claude and Gemini

Set it up once and it works in ChatGPT, Claude, Cursor, and any other client you love. It all runs safely in the background, so you can relax and focus on what really matters. Safely let your AI agent manage documents and data.

Ask AI about this Connector

Developed, maintained, and hosted by Vinkius.

MCP VERIFIED · PRODUCTION READY · VINKIUS GUARANTEED

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Works with modern AI clients that support MCP, including ChatGPT, Claude, Cursor, and more.

ChatGPTClaudeCursorPerplexityGeminiMicrosoft CopilotRaycastMeta AI

Your AI does the work. We keep it safe and sound.

No other AI tool gives you this. Your workflow runs in the client you already love, your account stays protected, and you decide what the agent can and cannot do. It is the whole reason to make the switch.

Each Connector lives inside our infrastructure, the same place where your workflow runs. The three things below are already part of it, working quietly in the background so you never have to think about them. Nothing to add, nothing to set up, nothing to worry about.

A futuristic MCP client docking bay
V8 Isolate01

Each Connector runs inside its own sealed environment.

Each Connector runs inside its own sealed V8 runtime — no access to your files, your system, or other servers. A Connector never sees past its own request.

Kill Switch02

One switch stops every agent. Instantly.

One action deactivates every Connector, revokes every token, and ends every session at once. AI Governance keeps the record.

FinOps per User03

Spending limits that pause instead of surprise.

Every user keeps their own connections and credentials, isolated from everyone else. Anything that would cross your spending limit is held for your approval, not billed.

Three controls, built into the layer your AI connects through.

Curated set · 4 capabilities

We ship only the actions that matter.

Capability set01 / 01

01-04

4 capabilities in this set.

Part of 4 available through Azure Blob Container.

  1. 01

    Put blob

    Use this capability to create a new file or overwrite an existing file in the configured container.

  2. 02

    Delete blob

    Use this capability to delete a file from the configured container. Be careful when running this operation.

  3. 03

    Get blob

    Use this capability to download and read the contents of a specific file within the container.

  4. 04

    List blobs

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

Real work

What teams actually run

01

Automated Reporting

The agent can list all monthly reports in a folder, read the necessary data, and then write a consolidated summary file.

02

Workflow State Management

Instead of relying on temporary memory, the agent can save its current state or conversation history as a file for later retrieval.

03

Document Processing

The agent reads a batch of raw documents, processes them, and then saves the cleaned, structured output back into the container.

04

Backup and Cleanup

The agent can list old files and use the delete capability to manage retention policies, keeping the container clean.

Automate a task

Put Azure Blob Container to work on one thing.

Step-by-step automations your AI runs through this Connector: the workflow, the prompts to start with, and the exact capabilities behind each move.

One connector, every AI

Azure Blob Container works with the most popular AI clients.

These are the most popular clients, each with a step-by-step guide: one link, set up once, with governance and visibility built in. And because everything runs on the MCP standard, the same connection also works in any other compatible client — nothing to rebuild.

ClaudeClaudeChatGPTChatGPTGeminiGeminiPerplexityPerplexityGrokGrokMicrosoft CopilotMicrosoft CopilotCursorCursorVS CodeVS CodeWindsurfWindsurfJetBrainsJetBrainsClineClineLangChainLangChainVercel AI SDKVercel AI SDKLovableLovableZ.aiZ.aiRaycastRaycastQwen CodeQwen CodeKimi CodeKimi CodeLe ChatLe Chat

Building your own app? The connector is yours to use.

You don't need a client to put Azure Blob Container to work: the same hosted connection plugs into your own applications and agent code, with the same governance on every request. Build with it, chat with it — one connection for both.

Observed, not estimated

863ms average. Fast in production.

Azure Blob Container is checked daily against the live service.

Daily averagePeak 1106ms
Oct 3Today
Fastest day
644ms
Slowest day
1106ms
14-day trend
Stable+2%

Connect your client

One URL. Every client.

Activate the Connector, copy your link, and paste it into the client you already use. 4 capabilities arrive ready to run.

Preview access · not provider authentication

The vk_preview_* token belongs to Vinkius preview infrastructure. It lets Claude discover and display the capabilities of Azure Blob Container, so you can see the experience inside your AI.

It does not authenticate your account with Azure Blob Container. Actions requiring credentials or live account data may not run until you activate the Connector and authorize the service.

Azure Blob Container Connector

You're all set. Choose your MCP client and follow the setup instructions.

Connector linkhttps://edge.vinkius.com/vk_preview_KegC9wyMjVWOSEhCaSwb9DkXf1hOZWEJE3EaqGTJ/mcp

Claude Desktop

Follow the steps below to connect in seconds.

  1. 1In Claude Desktop, open Settings → Connectors.
  2. 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
  3. 3Click Add and start a new chat — Azure Blob Container capabilities are ready to use.
Configuration · claude_desktop_config.jsonCopy
{
  "mcpServers": {
    "azure-blob-container-mcp": {
      "url": "https://edge.vinkius.com/vk_preview_KegC9wyMjVWOSEhCaSwb9DkXf1hOZWEJE3EaqGTJ/mcp"
    }
  }
}
  • Claude
  • ChatGPT
  • Cursor
  • VS Code
  • Windsurf
  • Claude Code
  • JetBrains
  • Cline

Step-by-step instructions for each client are in the guide. How to connect

Guided setup for Claude? Set up Azure Blob Container in Claude and other AIs

See all the AI clients this connector works with ↑

Who it's for

Built for the work Azure Blob Container owners hand off.

This MCP is essential for developers and data engineers who need to give their AI agent secure, isolated access to cloud storage. If your workflow requires the agent to manage documents, process reports, or maintain state without risking access to your entire cloud environment, this is for you. It provides the necessary guardrails.

  • 01

    Data Engineer

    Needs to let the agent read and write processed data files for ETL pipelines.

  • 02

    Developer

    Requires a secure place for the agent to store generated assets or temporary memory.

  • 03

    Compliance Officer

    Needs to ensure the agent's access is strictly limited to a single, auditable container.

FAQ

Questions Azure Blob Container owners ask.

  • 01

    Is this MCP secure for sensitive data?

    Yes. This MCP is designed for absolute containment. It strips away global Azure permissions, meaning the agent can only interact with files inside the single configured container. It cannot see or touch your other cloud resources.

  • 02

    Does this MCP support all Azure storage types?

    No. This MCP is specifically built for managing files within a single Azure Blob Container. It does not manage other types of Azure storage or services.

  • 03

    Can I use this to manage multiple containers?

    No. The design of this MCP strictly limits the agent to one specific container. It cannot list or interact with other containers in your Azure account.

  • 04

    What kind of data can I store?

    You can store any type of data, including JSON, text reports, images, or structured documents, as long as it fits within the blob storage format.

  • 05

    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.

  • 06

    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.

  • 07

    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.

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