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Azure Cosmos DB MCP CLient & Server

@patrice-truong

リポジトリ

基本情報

カテゴリ

データベース

ライセンス

MIT

トランスポート

stdio

作者

patrice-truong

Azure Cosmos DB MCP CLient & Server について

Azure Cosmos DB MCP Client and Server

#cosmosdb#azure#mcp#client-server

Azure Cosmos DB MCP CLient & Server の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "cosmosdb-mcp": {
      "command": "npx",
      "args": [
        "ts-node",
        "src/server.ts"
      ]
    }
  }
}

Azure Cosmos DB MCP CLient & Server のツール

ツール一覧はまだありません

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。

上のボタンで一時的なサンドボックスでこのサーバーを実行し、ツール一覧を取得できます。

概要

What is Azure Cosmos DB MCP Client & Server?

This project demonstrates how to build an MCP Server and client connected to Azure Cosmos DB for NoSQL. It includes a NextJS 15 frontend that displays a product catalog and provides an AI Assistant for searching products and retrieving past orders, alongside a Node.js MCP Server that reads products and orders from the database.

How to use Azure Cosmos DB MCP Client & Server?

Clone the repository, configure environment variables (Azure Cosmos DB endpoint, database, containers, Azure Storage, Azure OpenAI credentials), then start the MCP server with npx ts-node src/server.ts from the mcp-server folder. Run the frontend with npm start from the nextjs folder. Optionally, populate the product catalog using the provided .NET tool in the populate folder.

Key features of Azure Cosmos DB MCP Client & Server

  • MCP Server connected to Azure Cosmos DB NoSQL
  • NextJS 15 frontend with product catalog display
  • AI Assistant for product search and order lookup
  • Vector search enabled on Cosmos DB for semantic queries
  • Integration with Azure Blob Storage for product images
  • Uses Azure OpenAI for embedding generation

Use cases of Azure Cosmos DB MCP Client & Server

  • Build an AI-powered e-commerce store with natural language product search
  • Enable customers to retrieve their order history through a chat interface
  • Demonstrate MCP integration with Azure Cosmos DB for real-time data access

よくある質問

1

What Azure services are required?

Azure Cosmos DB for NoSQL (with vector search enabled), Azure Blob Storage for images, and Azure OpenAI for embeddings.

2

How do I populate the product catalog?

Run the .NET console application in the `populate` folder after configuring `appsettings.json` with your Cosmos DB account details and after authenticating with Azure (az login).

3

Where does data live?

Product, cart, and order data is stored in Azure Cosmos DB containers. Product images are hosted in Azure Blob Storage.

4

What authentication is used?

The project uses Azure RBAC (role-based access control) with an app registration and client secret. It also requires a storage account role assignment (Storage Blob Data Contributor). No built-in user authentication is implemented; the user email is hardcoded in `nextjs/models/constants.ts`.

5

How do I run the MCP Inspector?

Optionally start the MCP inspector with `npx -y @modelcontextprotocol/inspector` after the MCP server is running.

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