Power BI MCP Server

Power BI MCP Server

Enables natural-language interaction with Power BI REST API through MCP tools, allowing GenAI applications to access approved business intelligence capabilities and analytics.

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README

Power BI MCP Server

Overview

Power BI MCP Server is a Python-based Model Context Protocol (MCP) server designed to integrate the Power BI REST API with GenAI applications.

The project provides an interface through which an AI application can interact with Power BI capabilities using MCP-based tools.

Objective

Business intelligence platforms traditionally require users to navigate dashboards and reports manually.

An MCP integration can provide a conversational interface where an AI application can access approved business intelligence capabilities and help users work with analytics using natural-language requests.

High-Level Architecture

User
  |
  v
GenAI Application
  |
  v
Model Context Protocol
  |
  v
Power BI MCP Server
  |
  v
Power BI REST API
  |
  v
Power BI / Business Data

Key Capabilities

  • MCP server implementation
  • Power BI REST API integration
  • Python-based backend
  • Tool-based AI integration
  • Business intelligence access through MCP
  • Integration with compatible GenAI applications

Example Interaction

User:
"Show me the latest sales performance."

        |
        v

GenAI Application
        |
        v
MCP Tool Selection
        |
        v
Power BI MCP Server
        |
        v
Power BI REST API
        |
        v
Business Intelligence Data
        |
        v
AI-generated response

Technology

  • Python
  • Model Context Protocol (MCP)
  • Power BI REST API
  • GenAI application integration
  • API authentication
  • pytest / Python testing tools

Business Use Cases

Potential enterprise use cases include:

  • Natural-language business analytics
  • KPI retrieval
  • Power BI report interaction
  • AI-assisted business intelligence
  • Automated analytics workflows
  • Conversational access to approved BI capabilities

Security Considerations

Power BI and MCP integrations should carefully protect:

  • Access tokens
  • API credentials
  • Business data
  • User permissions
  • Tool execution permissions

Credentials should be stored securely and never committed to source control.

Future Enhancements

  • Additional Power BI tools
  • Role-based access control
  • Azure-hosted deployment
  • Azure OpenAI integration
  • Audit logging
  • More business analytics functions
  • Automated KPI monitoring
  • Enterprise authentication

Disclaimer

This README documents the Power BI MCP Server repository. If the repository is not your original work, do not claim the entire project as your own. Retain the original author's license, copyright, attribution, and repository notices, and clearly document any modifications you personally make.

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