How to Use the Azure Blob Container MCP in Claude Code

Connect Claude Code to your Azure Blob Container from the terminal. Manage cloud storage directly from your command line workflows.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Azure Blob Container MCP to Claude Code

Create your Vinkius account to connect Azure Blob Container to Claude Code and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup Azure Blob Container with Claude Code

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Headless cloud file operations

Terminal workflows demand direct access to remote assets without leaving the shell. You can pipe commands that instruct your agent to fetch production configuration files right from the cloud. Using `get_blob`, the CLI pulls the exact file contents into memory. It then analyzes the data, finds the misconfiguration, and generates a patch, all without opening a browser or a graphical storage explorer.

Automate bucket deployments via MCP Server

CI/CD pipelines need a way to push compiled assets to remote storage automatically. Your terminal agent handles this by uploading build artifacts the moment the compilation step finishes. The `put_blob` tool creates or overwrites files in your configured container. You can script an entire deployment sequence where the AI client builds the project and pushes the static files to the edge.

Audit and clean remote directories

DevOps engineers spend too much time manually clearing out old log files. You can script a cron job that wakes up your agent, scans the bucket, and removes anything older than thirty days. The system searches specific paths using `list_blobs` with a prefix filter. Once it identifies the targets, it fires `delete_blob` to clear them out, keeping your storage costs down automatically.

Setup guide

Set up Azure Blob Container MCP in Claude Code

Prerequisites

Claude Code CLI installed (npm install -g @anthropic-ai/claude-code)
Active Vinkius subscription with a valid endpoint token

1

Run the add command

Open your terminal and run the command shown on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com. Use --scope user to make it available across all projects.
2

Verify the connection

Start a Claude Code session and type /mcp to list connected servers. You should see azure-blob-container-mcp with a green status indicator.
3

Start using tools

Ask Claude Code something like "Check my latest Azure Blob Container transactions." It will automatically discover and invoke the available Azure Blob Container tools.

Terminal

claude mcp add --transport http azure-blob-container-mcp https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp

Get your connection token →

Prerequisites

Claude Code CLI installed
Active Vinkius subscription with a valid endpoint token

1

Open the config file

Create or edit .mcp.json in your project root for project-level scope, or ~/.claude.json for user-level scope.
2

Add the Azure Blob Container MCP

Paste the JSON snippet shown on the right into the mcpServers object. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Restart Claude Code

Start a new Claude Code session. Type /mcp to confirm the server is connected. The tools will be automatically available in your conversation.

.mcp.json

{
  "mcpServers": {
    "azure-blob-container-mcp": {
      "type": "url",
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Azure Blob Container. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

Why Choose Vinkius

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

Connect Azure Blob Container now

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 Code

Run the claude mcp add command in your terminal. Make sure to pass the --transport http flag before the server name, then provide the endpoint URL.

Yes. The listing tool accepts prefix arguments. This lets your terminal agent target specific directories instead of scanning the entire root structure.

This specific package binds to a single configured container. If your infrastructure spans multiple buckets, you must initialize a separate connection for each one.

Execute claude mcp list in your shell. The output will show all active connections and verify that the HTTP transport is functioning correctly.

Vinkius processes all file reads through an ephemeral V8 Isolate sandbox. Your blob contents and storage metadata exist only for the duration of the command execution and are destroyed immediately after.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript