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MCP server CX Codex

SemanticOps MCP — Power BI MCP server for Claude Code: how to install

MCP server that gives AI assistants direct access to Power BI Desktop files. DAX measures, table relationships, model optimization — all through prompts.

Install into Claude Code · Platform CLI All methods and platforms ↓
claude mcp add mcp-engine -- npx -y mcp-engine
Open on GitHub

What SemanticOps MCP (for Power BI) does

The server runs locally via npx and opens Claude, Copilot or ChatGPT programmatic access to .pbix files. You can read model structure, create and edit measures, manage table relationships, query metadata. All processing happens on your machine, no telemetry collected.

Works on Windows 10/11 and macOS, connects to Claude Code, Codex, Cursor, GitHub Copilot, Windsurf, Cline, Zed. License is proprietary but permits personal and commercial use.

The AI platform itself transmits conversation data to its provider (Anthropic, OpenAI) — that's independent of the server.

What it helps with

  • create a DAX measure via prompt
  • read Power BI model structure
  • manage table relationships
  • optimize model performance
  • query .pbix file metadata

Example prompts for the agent

  • Create a measure Total Sales in sales.pbix
  • Show all relationships in the current Power BI model
  • Optimize performance of report.pbix

How to install SemanticOps MCP (for Power BI)

Platform CLI

claude mcp add mcp-engine -- npx -y mcp-engine

Step by step, with commands for each platform: How to add an MCP server to Claude Code, Codex, Cursor, VS Code, Gemini CLI and more

Questions about SemanticOps MCP (for Power BI)

How to install SemanticOps MCP in Claude Code?

Run claude mcp add semanticops-mcp-for-power-bi -- npx -y mcp-engine in your terminal. The server will start via npx without additional installation.

What does SemanticOps MCP do?

Gives AI assistants programmatic access to Power BI Desktop files. You can create measures, read the model, manage relationships and optimize performance through natural language.

What are the system requirements?

Needs Windows 10/11 or macOS. The server runs locally, all data processing happens on your machine. No telemetry collected.

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