Power BI MCP Server
Enables AI assistants to programmatically manage Power BI workspaces, reports, and dashboards while executing DAX queries and triggering dataset refreshes. It supports secure OAuth2 authentication for operations like report exporting, workspace management, and real-time push dataset updates.
README
Power BI MCP Server
A Model Context Protocol (MCP) server that enables AI assistants to interact with Power BI workspaces, datasets, reports, and dashboards programmatically.
š Features
- Workspace Management: List and manage Power BI workspaces
- Report Operations: Access, clone, export, and rebind reports
- Dataset Management: Execute DAX queries, refresh datasets, manage schedules
- Dashboard Access: List and interact with dashboards
- Push Datasets: Create and manage push datasets with real-time data
- Authentication: Secure OAuth2 authentication with Microsoft Entra ID
š Prerequisites
- Node.js (v18 or higher)
- npm or yarn
- Power BI Pro or Premium license
- Microsoft Entra ID app registration
- MCP-compatible AI assistant (Claude Desktop, etc.)
š§ Installation
- Clone the repository:
git clone https://github.com/michaelmckinleyconsulting/powerbi-mcp-server.git
cd powerbi-mcp-server
- Install dependencies:
npm install
- Build the project:
npm run build
āļø Configuration
1. Microsoft Entra ID Setup
- Register an application in Azure Portal
- Configure API permissions for Power BI Service
- Note your:
- Client ID
- Tenant ID
- Client Secret (if using app-only auth)
2. Environment Variables
Create a .env file in the root directory (see .env.example for template):
PBI_PUBLIC_CLIENT_ID=your_client_id
PBI_TENANT_ID=your_tenant_id # Optional, defaults to 'common'
PBI_SCOPES=https://analysis.windows.net/powerbi/api/.default # Optional, or specify custom scopes
Note: This server uses Authorization Code flow with PKCE (no client secret required). Configure your Azure app with redirect URIs:
http://localhosthttp://127.0.0.1
3. MCP Configuration
Add to your MCP client configuration:
Claude Desktop
{
"mcpServers": {
"powerbi": {
"command": "node",
"args": ["path/to/powerbi-mcp-server/dist/index.js"],
"env": {
"PBI_PUBLIC_CLIENT_ID": "your_client_id",
"PBI_TENANT_ID": "your_tenant_id"
}
}
}
}
VS Code MCP Extension
{
"mcp.servers": {
"powerbi": {
"command": "node",
"args": ["path/to/powerbi-mcp-server/dist/index.js"],
"transport": "stdio",
"env": {
"PBI_PUBLIC_CLIENT_ID": "your_client_id"
}
}
}
}
š Usage
Basic Operations
Once configured, your AI assistant can:
- List workspaces: "Show me all my Power BI workspaces"
- Execute DAX: "Run a DAX query to get sales by region"
- Export reports: "Export the quarterly report to PDF"
- Refresh datasets: "Refresh the sales dataset"
- Manage access: "Add user@example.com to the Analytics workspace"
Example Prompts
"List all reports in my Sales workspace"
"Execute this DAX query against the Finance dataset: EVALUATE SUMMARIZE(...)"
"Export the Monthly KPI report to PowerPoint"
"Show me the refresh history for the Customer dataset"
"Create a push dataset for real-time monitoring"
š Authentication
The server supports two authentication methods:
- Interactive (Recommended): User signs in via browser
- App-Only: Uses client credentials (requires admin consent)
On first run, the server will prompt for authentication via your default browser.
š Project Structure
powerbi-mcp-server/
āāā src/
ā āāā index.ts # Main server entry point
ā āāā auth/ # Authentication logic
ā āāā handlers/ # Request handlers
ā āāā types/ # TypeScript definitions
ā āāā utils/ # Utility functions
āāā dist/ # Compiled JavaScript (git-ignored)
āāā package.json
āāā tsconfig.json
āāā README.md
š ļø Development
Running in Development Mode
npm run dev
Running Tests
npm test
Building for Production
npm run build
š Supported Power BI Operations
Workspaces (Groups)
- List workspaces
- Get workspace users
- Add/remove users
Reports
- List reports
- Get report metadata
- Clone reports
- Export to various formats (PDF, PPTX, PNG)
- Rebind to different datasets
Datasets
- List datasets
- Execute DAX queries
- Trigger refreshes
- Manage refresh schedules
- Get refresh history
Dashboards
- List dashboards
- Get dashboard tiles
Push Datasets
- Create push datasets
- Add rows to tables
- Clear table data
š§ Troubleshooting
Common Issues
- Authentication fails: Ensure your Azure app registration has proper Power BI permissions
- No workspaces found: Verify your account has access to Power BI workspaces
- DAX queries fail: Check dataset permissions and query syntax
- Export timeouts: Large reports may take time; the server handles async polling
Debug Mode
Enable verbose logging:
DEBUG=powerbi:* node dist/index.js
š License
This project is source-available under a Modified MIT License with Commons Clause - see the LICENSE file for details.
Non-Commercial Use: Free for personal, educational, and internal company use.
Commercial Use: Requires a separate commercial license. Contact [michael@mckinley.consulting] for commercial licensing.
This is not OSI-approved "open source" due to the commercial restrictions, but allows full community use for non-commercial purposes.
š¤ Contributing
We welcome contributions! Please note:
- By contributing, you agree that your contributions will be licensed under the same license
- For substantial changes, please open an issue first to discuss
- Ensure all tests pass and add tests for new features
š¬ Support
- Issues: GitHub Issues
- Commercial Support: [michael@mckinley.consulting]
- Documentation: Wiki
š Acknowledgments
- Built on the Model Context Protocol specification
- Uses Microsoft Power BI REST APIs
- Inspired by the MCP community
Note: This is not an official Microsoft product. Power BI is a trademark of Microsoft Corporation.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.