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SemanticOps MCP (for Power BI)

SemanticOps MCP (for Power BI)

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semanticops.devData & Analytics255Updated 2w ago
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About SemanticOps MCP (for Power BI)

SemanticOps MCP (formerly MCP Engine) is an MCP server for Power BI Desktop files on Windows and macOS. It lets AI assistants such as Claude, Copilot and ChatGPT read and modify models through natural language. The project states that it runs locally and collects no telemetry.

Key features

  1. 01Reads Power BI Desktop files
  2. 02Queries the data model
  3. 03Creates measures and manages relationships
  4. 04Optimizes model performance
  5. 05Runs locally with zero telemetry

Use cases

  1. 01Querying a Power BI data model in natural language
  2. 02Creating or changing measures with an AI assistant
  3. 03Reviewing Power BI models for performance improvements

MCP support

SemanticOps MCP is an MCP server that exposes Power BI model operations to MCP-compatible clients such as Claude Desktop, Claude Code CLI and Visual Studio Code.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "maxanatsko-mcp-engine": {
      "command": "npx",
      "args": [
        "-y",
        "mcp-engine"
      ]
    }
  }
}
Run commandnpx -y mcp-engine

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
npmmcp-engine3.9.119

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

SemanticOps MCP Logo

SemanticOps

Rollback mistakes. Test before deploy. Control what AI can change.

SemanticOps MCP Demo

Download Latest Release

License Platform Status

Quick Links

What It Does

SemanticOps MCP (formerly MCP Engine) is an MCP server that enables AI assistants (Claude, Copilot, ChatGPT) to read and modify Power BI Desktop files programmatically. Query your model, create measures, manage relationships, and optimize performance through natural language.

Learn more at semanticops.dev | View all features

Privacy

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 (e.g., Anthropic, OpenAI) based on your interactions.

Read more in FAQ

Installation

Installation is straightforward and takes under 5 minutes.

Requirements: Windows 10/11, or MacOS platform

View installation guide

Compatible with:

  • Claude Desktop (Windows & macOS)
  • Claude Code CLI (Windows & macOS)
  • Visual Studio Code
  • Any MCP-compatible client

License

Proprietary license with permitted personal and commercial use.

View full license | Third-party notices

Security

Report vulnerabilities privately to [email protected] or through GitHub private vulnerability reporting. See SECURITY.md.

Author

Built by Maxim Anatsko | Powered by Model Context Protocol

© 2025-2026 Maxim Anatsko. All rights reserved.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.