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How to Use the Azure Blob Container MCP in Claude

Read, write, and manage your Azure Blob Container files directly from your Claude Desktop chat interface.

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Works with every AI agent you already use

…and any MCP-compatible client

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Claude Desktop

Connect Azure Blob Container MCP to Claude Desktop

Create your Vinkius account to connect Azure Blob Container to Claude Desktop 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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Read files directly inside your chat window

Stop downloading text files, logs, or JSON payloads from the Azure portal just to paste them into your workspace. This MCP Server gives your Claude Desktop app the power to fetch files directly. You ask for a file, and Claude pulls the content immediately using `get_blob`. If you do not know the exact filename, tell your agent to find it. The `list_blobs` tool scans your directory structure, letting Claude filter by prefix so you only grab the specific logs or data assets you need for your current task.

Write and update cloud assets from chat

Generate a report or a clean dataset and save it straight to your cloud storage. Tell Claude Desktop to write the output directly back to your container. The `put_blob` tool creates new files or overwrites existing ones without you touching a CLI. It keeps your workspace clean. Instead of cluttering your local downloads folder with temporary files, your AI client drops the finished assets directly into Azure, ready for your team to use.

Safe file removal via Claude Desktop MCP Server

Clean up old test data or outdated logs directly from your conversation. The Claude Desktop MCP Server exposes `delete_blob` to let you purge files safely when they are no longer needed. Your agent will always ask for confirmation before executing this destructive action. This ensures you maintain full control over your Azure storage while offloading the tedious file management tasks to your workspace.

Setup guide

Set up Azure Blob Container MCP in Claude Web or Desktop

  1. 1

    Open Claude Settings

    Go to claude.ai, click your profile icon, then navigate to Customize → Connectors.

  2. 2

    Add Custom Connector

    Click the "+" button and select Add custom connector. Paste your Vinkius endpoint URL: https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. For OAuth-protected servers, expand Advanced settings to add credentials.

  3. 3

    Start a conversation

    Open a new chat. The Azure Blob Container MCP tools are available immediately — no restart needed.

Endpoint URL

https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

No configuration file needed — paste the URL directly in the Claude web interface.

Available on Free (1 connector), Pro, Max, Team, and Enterprise plans.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Azure Blob Container MCP in Claude Desktop

You configure the connection in your local `claude_desktop_config.json` file. Add the server under the `mcpServers` block with your Azure credentials, restart Claude Desktop, and the tools will appear in your chat interface.
Yes. Claude Desktop uses the `put_blob` tool to upload text, JSON, or other file formats directly to your storage. You just ask Claude to save the output, and it handles the upload.
Absolutely. The local MCP connection runs locally on your machine via stdio. Your Azure credentials stay in your local configuration file and are never sent to third-party servers.
The `delete_blob` tool requires explicit user confirmation in the chat interface before running. Claude will explain what it intends to delete, and you must approve the action before any file is removed.
All file transfers occur directly between your local machine and Azure's API endpoints. Vinkius runs the server in an isolated, zero-trust sandbox, meaning your file contents never touch persistent external storage or train models.

Start using the Azure Blob Container MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Built & Managed by Vinkius 30s setup 4 tools

We've already built the connector for Azure Blob Container. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 4 tools are live and waiting. You're up and running in seconds.

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