What is the primary purpose of the MCP Server for Power BI?

It enables programmatic exploration of Microsoft Fabric/Power BI workspaces, retrieval of semantic model metadata, and execution of ad-hoc DAX queries with secure OAuth/Entra ID authentication.

What specific Power BI operations can I perform with this tool?

You can list accessible Power BI workspaces and their datasets, retrieve detailed semantic model metadata and definitions, and execute custom DAX queries against any specified dataset.

Is the MCP Server compatible with other applications?

Yes, it's designed for seamless integration, particularly with OAuth-enabled clients like LibreChat, via its recommended HTTP Transport mode. It also supports STDIO for local development.

How does it ensure secure access to Power BI data?

The server utilizes robust OAuth/Entra ID (Azure AD) authentication, featuring JWT token validation, On-Behalf-Of (OBO) flow, and role/scope-based authorization for secure API interactions.

Power BI

Name: Power BI
Author: Mitsubishi-Fuso

•

Explores Microsoft Fabric / Power BI workspaces and semantic models, and executes ad-hoc DAX queries with robust OAuth/Entra ID support.

This tool functions as a Model Context Protocol (MCP) server, designed to streamline interaction with Microsoft Fabric and Power BI. It allows users to programmatically explore workspaces, enumerate semantic models, and execute complex DAX queries against their data. With built-in OAuth/Entra ID support, including JWT validation and On-Behalf-Of flow, it ensures secure and seamless integration with modern clients like LibreChat, making it ideal for both production environments and local development.

주요 기능

01Execute ad-hoc DAX queries against datasets via the Execute Queries API

02Support for HTTP Transport with OAuth/Entra ID (JWT, OBO flow)

03List accessible Power BI workspaces and their datasets

043 GitHub stars

05Retrieve detailed metadata and definitions for semantic models

06Comprehensive error handling with context-aware suggestions for Power BI API issues

사용 사례

01Local development and testing of Power BI interactions with MCP clients

02Integrating Power BI data exploration and DAX query execution into AI assistants (e.g., LibreChat)

03Automating the discovery and analysis of Power BI semantic models

04Developing custom applications that require programmatic access to Power BI data and metadata