A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file
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npx mdskills install erikhoward/adls-mcp-serverWell-documented MCP server providing comprehensive ADLS2 operations with clear setup and authentication options
A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools.
Requires Python 3.13 or higher.
Install the package using uv:
uv pip install adls2-mcp-server
1 - Edit Claude Desktop Configuration:
Open claude_desktop_config.json and add the following configuration.
On MacOs, the file is located here:
~/Library/Application Support/Claude Desktop/claude_desktop_config.json.
On Windows, the file is located here:
%APPDATA%\Claude Desktop\claude_desktop_config.json.
{
"mcpServers": {
"adls2": {
"command": "adls2-mcp-server",
"env": {
"LOG_LEVEL": "DEBUG",
"UPLOAD_ROOT": "/path/to/store/uploads",
"DOWNLOAD_ROOT": "/path/to/store/downloads",
"AZURE_STORAGE_ACCOUNT_NAME": "your-azure-adls2-storage-account-name",
"READ_ONLY_MODE": "false"
}
}
}
}
The following is a table of available environment configuration variables:
| Variable | Description | Default |
|---|---|---|
LOG_LEVEL | Logging level | INFO |
UPLOAD_ROOT | Root directory for file uploads | ./uploads |
DOWNLOAD_ROOT | Root directory for file downloads | ./downloads |
AZURE_STORAGE_ACCOUNT_NAME | Azure ADLS2 storage account name | None |
AZURE_STORAGE_ACCOUNT_KEY | Azure ADLS2 storage account key (optional) | None |
READ_ONLY_MODE | Whether the server should operate in read-only mode | true |
If AZURE_STORAGE_ACCOUNT_KEY is not set, the server will attempt to authenticate using Azure CLI credentials. Ensure you have logged in with Azure CLI before running the server:
az login
2 - Restart Claude Desktop.
list_filesystems - List all filesystems in the storage accountcreate_filesystem - Create a new filesystemdelete_filesystem - Delete an existing filesystemupload_file - Upload a file to ADLS2download_file - Download a file from ADLS2file_exists - Check if a file existsrename_file - Rename/move a fileget_file_properties - Get file propertiesget_file_metadata - Get file metadataset_file_metadata - Set file metadataset_file_metadata_json - Set multiple metadata key-value pairs using JSONcreate_directory - Create a new directorydelete_directory - Delete a directoryrename_directory - Rename/move a directorydirectory_exists - Check if a directory existsdirectory_get_paths - Get all paths under the specified directory1 - Clone the repository:
git clone https://github.com/erikhoward/adls2-mcp-server.git
cd adls2-mcp-server
2 - Create and activate virtual environment:
Linux/macOS:
python -m venv .venv
source .venv/bin/activate
Windows:
.venv\Scripts\activate
3 - Install dependencies:
pip install -e ".[dev]"
4 - Copy and configure environment variables:
cp .env.example .env
Edit .env with your settings.
AZURE_STORAGE_ACCOUNT_NAME=your_azure_adls2_storage_account_name
AZURE_STORAGE_ACCOUNT_KEY=your_azure_adls2_storage_key (optional)
DOWNLOAD_ROOT=/path/to/download/folder
UPLOAD_ROOT=/path/to/upload/folder
READ_ONLY_MODE=True
LOG_LEVEL=INFO
If AZURE_STORAGE_ACCOUNT_KEY is not set, the server will attempt to authenticate using Azure CLI credentials. Ensure you have logged in with Azure CLI before running the server:
az login
5 - Claude Desktop Configuration
Open claude_desktop_config.json and add the following configuration.
On MacOs, the file is located here:
~/Library/Application Support/Claude Desktop/claude_desktop_config.json.
On Windows, the file is located here:
%APPDATA%\Claude Desktop\claude_desktop_config.json.
{
"mcpServers": {
"adls2": {
"command": "uv",
"args": [
"--directory",
"/path/to/adls2-mcp-server/repo",
"run",
"adls2-mcp-server"
],
"env": {
"LOG_LEVEL": "DEBUG",
"UPLOAD_ROOT": "/path/to/store/uploads",
"DOWNLOAD_ROOT": "/path/to/store/downloads",
"AZURE_STORAGE_ACCOUNT_NAME": "your-azure-adls2-storage-account-name",
"READ_ONLY_MODE": "false"
}
}
}
}
6 - Restart Claude Desktop.
Contributions are welcome! Please feel free to submit a Pull Request.
git checkout -b feature/AmazingFeature)git commit -m 'โจ Add some AmazingFeature')git push origin feature/AmazingFeature)Licensed under MIT - see LICENSE.md file.
This is not an official Microsoft product.
Install via CLI
npx mdskills install erikhoward/adls-mcp-serverADLS2 MCP Server ๐ is a free, open-source AI agent skill. A Model Context Protocol (MCP) server implementation for Azure Data Lake Storage Gen2. This service provides a standardized interface for interacting with ADLS2 storage, enabling file operations through MCP tools. Requires Python 3.13 or higher. Install the package using uv: 1 - Edit Claude Desktop Configuration: Open claudedesktopconfig.json and add the following configuration. On MacOs, the file
Install ADLS2 MCP Server ๐ with a single command:
npx mdskills install erikhoward/adls-mcp-serverThis downloads the skill files into your project and your AI agent picks them up automatically.
ADLS2 MCP Server ๐ works with Claude Code, Claude Desktop, Cursor, Vscode Copilot, Windsurf, Continue Dev, Gemini Cli, Amp, Roo Code, Goose. Skills use the open SKILL.md format which is compatible with any AI coding agent that reads markdown instructions.