Power BI MCP Server
# 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
```text
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
```text
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.
TDQS
Scored across 8 tools
Each tool targets a distinct resource or action: workspaces, datasets, reports, dashboards, dataset refresh, refresh history, DAX query, and report export. There is no overlap or ambiguity.
All tool names follow a consistent verb_noun pattern (e.g., list_workspaces, refresh_dataset, execute_dax_query). The style is uniform and predictable.
Eight tools is a well-scoped set for a Power BI server focused on listing resources and performing common actions like refresh, query, and export. No redundant tools.
The surface covers listing and key actions (refresh, query, export), but lacks get-by-id operations and any create/update/delete tools. This is a notable gap for full lifecycle management, though the server appears oriented toward read and operational tasks.