erikhoward/adls-mcp-server

Overview

An open-source Python MCP server that exposes Microsoft Azure Data Lake Storage operations through the Model Context Protocol. It allows MCP-compatible AI agents and tools to browse directories, read files, and manage blobs in Azure Data Lake Storage using a standardized interface.

Best for

Best for
Developers who need a simple MCP bridge to query or manage files in Azure Data Lake Storage from AI assistants or automated workflows

Use cases

• Letting an AI coding assistant retrieve files from Azure Data Lake Storage during development
• Enabling a chatbot to list and read data lake contents for user queries
• Connecting MCP-based toolchains to Azure Data Lake Storage for automated data pipelines

Notes

An open-source Python MCP server that exposes Microsoft Azure Data Lake Storage operations through the Model Context Protocol. It allows MCP-compatible AI agents and tools to browse directories, read files, and manage blobs in Azure Data Lake Storage using a standardized interface.

6 stars on GitHub. Last updated 2025-05-31. Licensed MIT.

Use cases

• Letting an AI coding assistant retrieve files from Azure Data Lake Storage during development
• Enabling a chatbot to list and read data lake contents for user queries
• Connecting MCP-based toolchains to Azure Data Lake Storage for automated data pipelines

Pros

• Open source and written in Python, easy to inspect and customize
• Directly addresses a niche gap in MCP support for Azure Data Lake Storage
• Lightweight server that can be self-hosted with minimal dependencies

Cons

• Very small community (6 stars) with limited documentation and support
• May lack advanced features like recursive operations or authentication variants
• Requires manual setup and configuration of Azure credentials and permissions

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.