
adls-mcp-server
A Model Context Protocol server for Azure Data Lake Storage Gen2
Key Features
Use Cases
README
ADLS2 MCP Server 🚀
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.
Setup 🛠️
Installation 📦
Requires Python 3.13 or higher.
Install the package using uv
:
uv pip install adls2-mcp-server
MCP Configuration ⚙️
Claude Desktop Configuration
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.
Available Tools 🔧
Filesystem (container) Operations
list_filesystems
- List all filesystems in the storage accountcreate_filesystem
- Create a new filesystemdelete_filesystem
- Delete an existing filesystem
File Operations
upload_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 JSON
Directory Operations
create_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 directory
Development 💻
Local Development Setup
1 - 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 🤝
Contributions are welcome! Please feel free to submit a Pull Request.
- Fork the repository
- Create your feature branch (
git checkout -b feature/AmazingFeature
) - Commit your changes (
git commit -m '✨ Add some AmazingFeature'
) - Push to the branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
License ⚖️
Licensed under MIT - see LICENSE.md file.
This is not an official Microsoft product.
Star History
Repository Owner
User
Repository Details
Programming Languages
Topics
Join Our Newsletter
Stay updated with the latest AI tools, news, and offers by subscribing to our weekly newsletter.
Related MCPs
Discover similar Model Context Protocol servers

mcp-server-templates
Deploy Model Context Protocol servers instantly with zero configuration.
MCP Server Templates enables rapid, zero-configuration deployment of production-ready Model Context Protocol (MCP) servers using Docker containers and a comprehensive CLI tool. It provides a library of ready-made templates for common integrations—including filesystems, GitHub, GitLab, and Zendesk—and features intelligent caching, smart tool discovery, and flexible configuration options via JSON, YAML, environment variables, or CLI. Perfect for AI developers, data scientists, and DevOps teams, it streamlines the process of setting up and managing MCP servers and has evolved into the MCP Platform for enhanced capabilities.
- ⭐ 5
- MCP
- Data-Everything/mcp-server-templates

mcpmcp-server
Seamlessly discover, set up, and integrate MCP servers with AI clients.
mcpmcp-server enables users to discover, configure, and connect MCP servers with preferred clients, optimizing AI integration into daily workflows. It supports streamlined setup via JSON configuration, ensuring compatibility with various platforms such as Claude Desktop on macOS. The project simplifies the connection process between AI clients and remote Model Context Protocol servers. Users are directed to an associated homepage for further platform-specific guidance.
- ⭐ 17
- MCP
- glenngillen/mcpmcp-server

cloudflare/mcp-server-cloudflare
Connect Cloudflare services to Model Context Protocol (MCP) clients for AI-powered management.
Cloudflare MCP Server enables integration between Cloudflare's suite of services and clients using the Model Context Protocol (MCP). It provides multiple specialized servers that allow AI models to access, analyze, and manage configurations, logs, analytics, and other features across Cloudflare's platform. Users can leverage natural language interfaces in compatible MCP clients to read data, gain insights, and perform automated actions on their Cloudflare accounts. This project aims to streamline the orchestration of security, development, monitoring, and infrastructure tasks through standardized MCP connections.
- ⭐ 2,919
- MCP
- cloudflare/mcp-server-cloudflare
Didn't find tool you were looking for?