{
"mcpServers": {
"adls-mcp-server": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Microsoft Azure Data Lake Storage MCP Server
Is it safe?
No package registry to scan.
No authentication — any process on your machine can connect.
MIT. View license →
Is it maintained?
Last commit 313 days ago. 6 stars.
Will it work with my client?
Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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MCP Server for GCP environment for interacting with various Observability APIs.
MCP Server for kubernetes management commands
Model Context Protocol (MCP) server for Kubernetes and OpenShift
The power of Claude Code / GeminiCLI / CodexCLI + [Gemini / OpenAI / OpenRouter / Azure / Grok / Ollama / Custom Model / All Of The Above] working as one.
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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/t
... [View full README on GitHub](https://github.com/erikhoward/adls-mcp-server#readme)