Mcp Az Storage Svc Sample
What is Mcp Az Storage Svc Sample
MCP-Az-storage-Svc-Sample is a repository that implements an MCP server for Azure Blob Storage, providing functionalities such as listing, creating, deleting containers/blobs, and uploading/downloading blobs using asynchronous Python APIs.
Use cases
Use cases include managing large datasets in Azure Blob Storage, integrating storage operations into applications using MCP, and providing user-friendly interfaces for non-technical users to interact with cloud storage.
How to use
To use MCP-Az-storage-Svc-Sample, set up the server and client as per the README files provided. The server can be accessed via Microsoft Entra Managed Identity or Azure CLI authentication, while the client interacts with the server using an AI-powered chat interface.
Key features
Key features include asynchronous operations for Azure Blob Storage, integration with MCP-compatible applications, and an AI assistant client that allows natural language interaction with storage operations.
Where to use
MCP-Az-storage-Svc-Sample can be used in cloud storage management, application development that requires blob storage operations, and AI-assisted data handling scenarios.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is Mcp Az Storage Svc Sample
MCP-Az-storage-Svc-Sample is a repository that implements an MCP server for Azure Blob Storage, providing functionalities such as listing, creating, deleting containers/blobs, and uploading/downloading blobs using asynchronous Python APIs.
Use cases
Use cases include managing large datasets in Azure Blob Storage, integrating storage operations into applications using MCP, and providing user-friendly interfaces for non-technical users to interact with cloud storage.
How to use
To use MCP-Az-storage-Svc-Sample, set up the server and client as per the README files provided. The server can be accessed via Microsoft Entra Managed Identity or Azure CLI authentication, while the client interacts with the server using an AI-powered chat interface.
Key features
Key features include asynchronous operations for Azure Blob Storage, integration with MCP-compatible applications, and an AI assistant client that allows natural language interaction with storage operations.
Where to use
MCP-Az-storage-Svc-Sample can be used in cloud storage management, application development that requires blob storage operations, and AI-assisted data handling scenarios.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
MCP 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.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
