by maxanatsko
The SemanticOps MCP (formerly MCP Engine) is a Power BI tool that lets AI assistants like Claude interact with your Power BI models programmatically: read your model structure, run DAX queries, modify your semantic model, and perform advanced analytics - all through natural conversation.
# Add to your Claude Code skills
git clone https://github.com/maxanatsko/mcp-engine-publicGuides for using ai agents skills like mcp-engine-public.
Last scanned: 5/30/2026
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"status": "PASSED",
"scannedAt": "2026-05-30T15:26:21.954Z",
"npmAuditRan": true,
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}mcp-engine-public is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by maxanatsko. The SemanticOps MCP (formerly MCP Engine) is a Power BI tool that lets AI assistants like Claude interact with your Power BI models programmatically: read your model structure, run DAX queries, modify your semantic model, and perform advanced analytics - all through natural conversation. It has 252 GitHub stars.
Yes. mcp-engine-public passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/maxanatsko/mcp-engine-public" and add it to your Claude Code skills directory (see the Installation section above).
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh mcp-engine-public against similar tools.
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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
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.
Installation is straightforward and takes under 5 minutes.
Requirements: Windows 10/11, or MacOS platform
Compatible with:
Proprietary license with permitted personal and commercial use.
View full license | Third-party notices
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