fabric-dw 2026.6.0a0.dev36

Python CLI + MCP server for administering Microsoft Fabric Data Warehouses and SQL Analytics Endpoints

fabric-dw

Python CLI and MCP server for administering Microsoft Fabric Data Warehouses and SQL Analytics Endpoints.

Status

Alpha — work in progress. The API and CLI interface may change without notice. See the open issues for current status.

Description

fabric-dw provides two interfaces for managing Microsoft Fabric Data Warehouses and SQL Analytics Endpoints:

• CLI — a command-line tool for common DW administration tasks.
• MCP server — a Model Context Protocol server that exposes DW operations as tools for AI assistants.

Authentication is handled via the Azure CLI (az login).

Installation

pip install fabric-dw

Note: placeholder release; CLI/MCP under active development. Installation instructions will be updated on first release.

Run in Docker

docker pull ghcr.io/sdebruyn/fabric-dw:latest
docker run --rm \
  -e AZURE_CLIENT_ID=… \
  -e AZURE_TENANT_ID=… \
  -e AZURE_CLIENT_SECRET=… \
  -e FABRIC_AUTH=sp \
  ghcr.io/sdebruyn/fabric-dw --help

Dev images (built from every main merge): ghcr.io/sdebruyn/fabric-dw:main or :<version>.dev<N>.

Package page: ghcr.io/sdebruyn/fabric-dw

Quick Start

CLI

# Coming soon
fabric-dw --help

MCP Server

// Coming soon — add to your MCP client configuration
{
  "mcpServers": {
    "fabric-dw": {
      "command": "fabric-dw-mcp"
    }
  }
}

Develop in a container

Open the repo in GitHub Codespaces or VS Code's Remote-Containers extension — the devcontainer pre-installs Python 3.13, uv, Azure CLI, and the GitHub CLI.

Contributing

See CONTRIBUTING.md for dev setup, branch flow, and how to run tests locally.

📖 Docs: fdw.debruyn.dev (or run uv run --only-group docs zensical serve locally).

Security

Please report vulnerabilities privately — see SECURITY.md.

Code of Conduct

This project follows the Contributor Covenant 2.1.

License

MIT — Copyright (c) 2026 Sam Debruyn