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mcp-engine-public

by maxanatsko·★ 237·Score 49

MCP server for Power BI model interaction, enabling AI assistants to programmatically query and modify Power BI models.

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Overview

SemanticOps MCP (formerly MCP Engine) is an MCP server that bridges AI assistants like Claude with Power BI models. It enables AI to read model structures, run DAX queries, modify semantic models, and perform advanced analytics. The server runs locally with zero telemetry, ensuring privacy as all data processing happens on the user's machine. It's compatible with multiple platforms (Windows and macOS) and various MCP clients.

Try asking AI

After installing, here are 5 things you can ask your AI assistant:

you:Automating Power BI model modifications through AI natural language commands
you:Running DAX queries to analyze data without leaving the AI conversation
you:Testing and validating model changes before deployment
you:What Power BI versions are supported?
you:Is my data secure with this MCP server?

When to choose this

Choose this if you work with Power BI models and want to use AI assistants to programmatically interact with them without leaving your preferred AI environment.

When NOT to choose this

Don't choose this if you need open-source solutions, as it uses a proprietary license, or if you're not using Power BI models.

Comparable tools

powerbi-mcpmcp-powerbipowerbi-desktop-apidax-query-cli

Installation

Installation

  1. Download the latest release from [GitHub releases](https://github.com/maxanatsko/mcp-engine-public/releases)
  2. Follow the [installation guide](https://semanticops.dev/getting-started)

Claude Desktop Configuration

Add this to your Claude Desktop configuration:

{
  "mcpServers": {
    "semanticops": {
      "command": "path/to/semanticops-mcp",
      "args": []
    }
  }
}

FAQ

What Power BI versions are supported?
The MCP server works with Power BI Desktop files. It's compatible with recent versions of Power BI Desktop on both Windows and macOS.
Is my data secure with this MCP server?
Yes, this MCP server runs locally and collects zero telemetry. All data processing happens on your machine. Your AI assistant may send data to its provider based on your interactions.

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Last updated · Auto-generated from public README + GitHub signals.