Power BI MCP Server
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@Power BI MCP ServerShow me the latest sales performance for this quarter."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
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.
Related MCP server: PowerBI MCP Server
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
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v
GenAI Application
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v
Model Context Protocol
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v
Power BI MCP Server
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v
Power BI REST API
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v
Power BI / Business DataKey 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
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v
Power BI MCP Server
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v
Power BI REST API
|
v
Business Intelligence Data
|
v
AI-generated responseTechnology
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.
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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