Power BI Modeling MCP SSE Bridge
Provides seamless integration with Laravel applications through HTTP facade, enabling URL-based interaction with Power BI semantic models and session-specific context injection via query parameters.
Enables interaction with Power BI semantic models from Python applications without requiring local stdio piping, allowing URL-based access to Power BI modeling capabilities.
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 Modeling MCP SSE Bridgeshow top 10 products by sales from the Q4 dataset"
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 Modeling MCP SSE Bridge
This project is a high-performance SSE (Server-Sent Events) Bridge for the Official Microsoft Power BI Modeling MCP Server. It enables seamless, URL-based interaction with Power BI semantic models from any language (Laravel, Python, Go) without the need for local stdio piping.
🔥 Key Innovations
Auto-Auth (Token Injection): Automatically performs an Azure ROPC flow using your Admin credentials to inject an Access Token. Result: Zero browser popups on your server.
Dynamic Binary Resolution: Automatically detects your OS and CPU architecture to spawn the correct Microsoft MCP binary.
Laravel Context Injection: Pass Workspace and Dataset IDs via URL query parameters to maintain session-specific contexts.
Web-Ready: Perfect for building custom AI Chat interfaces for Power BI.
🛠️ Installation & Quick Start
1. Requirements
Node.js v18 or higher.
Power BI Admin account (Master User) or Service Principal.
2. Setup
git clone https://github.com/nusagates/mcp_pbi.git
cd mcp_pbi
npm install3. Configuration
Create a .env file from the template:
cp .env.example .envFill in your MS_PBI_... credentials. Important: For the password-based login to work without a browser, enable "Allow public client flows" in your Azure App Registration -> Authentication settings.
4. Run
npm startThe bridge will be live at http://localhost:3000/sse.
🔗 Laravel Integration Example
Using Laravel's Http facade to interact with the bridge:
use Illuminate\Support\Facades\Http;
// 1. Establish connection context (via Browser/SSE Client)
// URL: http://localhost:3000/sse?workspace_id=abc&dataset_id=123
// 2. Execute a Tool through the bridge
$response = Http::post("http://localhost:3000/messages?sessionId=YOUR_SESSION_ID", [
"jsonrpc" => "2.0",
"id" => 1,
"method" => "tools/call",
"params" => [
"name" => "execute_dax_query",
"arguments" => [
"query" => "EVALUATE TOPN(10, 'YourTable')"
]
]
]);
return $response->json();🛡️ Power BI Permissions Checklist
Azure Portal: App Registration exists with
Tenant.Read.All.Power BI Admin: "Allow service principals to use Power BI APIs" is ON.
Workspace: App or User is added as a Member/Contributor.
🤝 Credits
This bridge uses the Microsoft Power BI Modeling MCP Server as its core engine. Special thanks to the Microsoft team for the protocol implementation.
📄 License
MIT License. Feel free to use and contribute!
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