MCP Azure Storage Sample

@MSFT-Innovation-Hub-India

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ファイルとストレージ

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作者

MSFT-Innovation-Hub-India

MCP Azure Storage Sample について

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 の設定

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このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

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MCP Azure Storage Sample のツール

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この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.

よくある質問

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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