Power BI Modeling MCP SSE Bridge

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.

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README

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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