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Power BI Modeling MCP SSE Bridge

This MCP server provides a web-ready SSE bridge for Microsoft's Power BI Modeling MCP Server, enabling URL-based interaction with Power BI semantic models from any programming language without local stdio piping. It features automatic Azure authentication and dynamic binary resolution for seamless Power BI data analysis.

glama
Updated
Apr 22, 2026

Power BI Modeling MCP SSE Bridge

Node.js Version Platform MCP

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 install

3. Configuration

Create a .env file from the template:

cp .env.example .env

Fill 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 start

The 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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