@abhirockzz
基本信息
Build AI Tooling in Go with the MCP SDK – Connecting AI Apps to Azure Cosmos DB
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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。
This is an experimental MCP server built with Go that exposes tools to interact with Azure Cosmos DB using the Azure SDK for Go and the official MCP Go SDK. It works with the Azure Cosmos DB service and the vNext emulator, and is intended as a learning tool rather than a production replacement for other Azure MCP offerings.
Clone the repository, build the binary with go build, then run in HTTP or stdio mode. Authentication uses Azure’s DefaultAzureCredential (except for the local emulator, which uses key-based auth). Configure the server in your MCP client via a mcp.json file, setting either an HTTP URL or a stdio command.
It uses DefaultAzureCredential from the Azure SDK for Go, supporting environment variables, managed identity, Azure CLI, and Azure Developer CLI. The local emulator uses a well-known key-based authentication instead.
The server supports both Streamable HTTP and Stdio transports. You can run locally as an HTTP server or stdio process, or deploy to a remote endpoint as an HTTP(s) server.
No. This project is an experimental learning tool and is not intended to replace the Azure MCP Server or Azure Cosmos DB MCP Toolkit. The remote execution mode lacks client authentication, so use it only for testing.
It exposes nine tools: List Databases, Create Database, List Containers, Read Container Metadata, Create Container, Add Item to Container, Read Item, Execute Query, and Batch Create Items.
Yes. Set up the vNext emulator with `docker run ...`, then configure the server—it will work with both local and cloud accounts.
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