ADLS2 MCP Server
Provides AI assistants with standardized capabilities to operate Azure Data Lake Storage Gen2.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: ADLS2 MCP Server. It is used for: Provides AI assistants with standardized capabilities to operate Azure Data Lake Storage Gen2. Full Skill content: https://321skill.com/skills/adls2-mcp-server/raw/index.md Read that page and install it.
The prompt includes a link to the full Skill content. You can also view the full content.
This Skill addresses the issue where AI assistants (like Claude) cannot directly and securely operate Azure Data Lake Storage Gen2 (ADLS2) cloud storage. In practical development, developers often need AI assistants to read, upload, or manage files stored in ADLS2—for example, to analyze business datasets, back up core enterprise business data to the cloud, or synchronize project documents. However, directly exposing cloud credentials or writing complex scripts is both insecure and inefficient.
Usage is straightforward. You simply need to install this MCP server via the uv toolkit and add the corresponding server configuration and environment variables to the configuration file of your AI assistant (such as Claude Desktop). Afterward, you can use natural language instructions to have the AI assistant perform a series of ADLS2 operations, such as listing file systems, uploading/downloading files, and creating directories—all without manually writing code or using the Azure portal.
It is well-suited for teams or individuals who frequently interact with Azure cloud storage. This is especially true for developers, data analysts, and operations engineers who already use AI assistants supporting the MCP protocol (like Claude) for data analysis, automated deployment, or content management. For workflows that require seamless integration of cloud storage operations within AI conversations, this Skill can significantly boost efficiency.
It is recommended to prioritize using Azure CLI for authentication during configuration to enhance security. Note that it primarily relies on a Python 3.13+ environment and requires the user to have appropriate access permissions for the target ADLS2 storage account. When setting environment variables, please carefully configure parameters like READ_ONLY_MODE to prevent unintended write operations.
Key Features
Unlike approaches that require manually writing Python scripts to call the Azure SDK, this tool encapsulates ADLS2 operations as standardized tools via the Model Context Protocol (MCP). This enables AI assistants like Claude to securely and conveniently manage cloud storage directly through conversational instructions, without the user needing to leave the chat environment.
Limitations
This Skill requires Python version 3.13 or higher and must be used with an MCP-compatible client (such as Claude Desktop); it cannot run independently.
FAQ
How do I configure Azure authentication?
It is recommended to log in using Azure CLI (`az login`); the server will automatically use the CLI credentials. Alternatively, you can set the account key via the environment variable `AZURE_STORAGE_ACCOUNT_KEY`.
What specific file operations does it support?
It supports file operations such as upload, download, rename, existence check, and retrieving properties and metadata, as well as container operations like creating, deleting, and renaming directories, and listing file systems.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/adls2-mcp-server/raw/index.md to read the original Skill definition (Markdown format) for ADLS2 MCP Server, and install it according to the instructions.
Raw Markdown URL for AI: /skills/adls2-mcp-server/raw/index.md