MCP Azure Storage Sample
LocalAbout MCP Azure Storage Sample
MCP Azure Storage Sample demonstrates an MCP server and companion client for Azure Blob Storage operations. The client combines tool discovery with an Azure OpenAI GPT-4o chat interface for natural-language storage requests.
Key features
- 01List and manage containers and blobs
- 02Upload and download blobs
- 03Authenticate with Managed Identity or Azure CLI
- 04Discover server tools in the companion client
- 05Use a GPT-4o chat interface for storage operations
Use cases
- 01List containers and blobs in Azure Blob Storage
- 02Upload or download blob data
- 03Create or delete storage containers and blobs
- 04Make storage requests through the companion chat client
MCP support
The server exposes Azure Blob Storage operations as tools for MCP clients. The companion client discovers these tools and uses them to interact with the server.
Configuration
Local server config is the same for every client. Copy it into your client’s MCP config file.
We haven’t collected a package or remote endpoint for this server. Follow the instructions in the project README.
Tools
Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.
Details
From the project READMEMCP Azure Storage Sample
This repository contains sample projects demonstrating how to use the Model Context Protocol (MCP) with Azure Blob Storage. It includes both a server and a client implementation.
Project Overview
-
MCP Server for Azure Blob Storage
Implements an MCP server that exposes Azure Blob Storage operations (list, create, delete containers/blobs, upload/download blobs) via asynchronous Python APIs.- Uses Microsoft Entra Managed Identity or Azure CLI authentication.
- Designed for integration with MCP-compatible applications.
- Read the full server README
-
MCP Client AI Assistant
Companion client application that interacts with the MCP server to perform storage operations.- Implements MCP client functionality with an AI-powered chat interface using Azure OpenAI GPT-4o.
- Discovers available tools from the server and allows natural language interaction with Azure Blob Storage.
- Read the full client README
Quick Links
For setup, usage, and detailed features, please refer to the respective README files above.
Comments
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.