MCP Azure Storage Sample

@MSFT-Innovation-Hub-India

Basic information

About MCP Azure Storage Sample

This repository implements an MCP (Model Context Protocol) server that exposes various functionalities on an Azure Blob Storage account. It is based on the MCP SDK from Anthropic, which can be found at: https://github.com/modelcontextprotocol/python-sdk. It has sample code for an

#mcp#azure-storage#mcp-server #mcp-client

MCP Azure Storage Sample config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

MCP Azure Storage Sample tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Azure Storage Sample?

It is a sample project that demonstrates integrating Azure Blob Storage with the Model Context Protocol (MCP). It includes an MCP server exposing storage operations and a companion AI assistant client powered by Azure OpenAI GPT-4o, intended for developers building MCP-compatible applications.

How to use MCP Azure Storage Sample?

Clone the repository and follow the detailed setup and usage instructions in the MCP Server README and MCP Client README located in the project.

Key features of MCP Azure Storage Sample

Exposes Blob Storage operations via MCP.
Supports list, create, delete containers and blobs.
Enables upload and download of blobs.
Authenticates with Entra Managed Identity or Azure CLI.
Includes an AI assistant client for natural language interaction.
Client discovers server tools and uses Azure OpenAI GPT‑4o.

Use cases of MCP Azure Storage Sample

Manage Azure Blob Storage through natural language commands.
Build an AI assistant that lists, uploads, or deletes containers on request.
Automate blob upload/download tasks in an MCP‑compatible workflow.
Demo MCP integration with Azure cloud services.
Integrate storage operations into agentic AI applications.

Frequently asked questions

What does this sample include?

It includes an MCP server for Azure Blob Storage and a companion AI assistant client that communicates with the server.

How does the server authenticate?

It uses Microsoft Entra Managed Identity or Azure CLI authentication.

What storage operations does the server expose?

The server can list, create, and delete containers and blobs, and upload and download blobs.

Is there a client application?

Yes, a client AI assistant is provided that discovers tools from the server and enables natural language interaction using Azure OpenAI GPT‑4o.

Where can I find setup instructions?

Detailed setup instructions are in the MCP Server README and MCP Client README linked in the project’s top-level README.

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