MCP Azure Storage Sample

@MSFT-Innovation-Hub-India

代码仓库

基本信息

分类

文件与存储

传输方式

stdio

作者

MSFT-Innovation-Hub-India

关于 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 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

MCP Azure Storage Sample 工具

工具列表暂未提供

当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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.

常见问题

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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