SemanticOps MCP
Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@SemanticOps MCPAdd a measure for total sales in the Sales table"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Quick Links
Full Documentation - Installation, guides, and examples
Get Support - FAQ and troubleshooting
Related MCP server: PBIXRay MCP Server
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.
Installation
Installation is straightforward and takes under 5 minutes.
Requirements: Windows 10/11, or MacOS platform
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
Author
Built by Maxim Anatsko | Powered by Model Context Protocol
© 2025-2026 Maxim Anatsko. All rights reserved.
This server cannot be deployed
Maintenance
Related MCP Connectors
Debug, build, and manage Power Automate cloud flows with AI agents
AI access to Quadratic spreadsheets: open files, run Python/SQL, query connected databases.
Provide AI assistants with real-time access to official SEC EDGAR filings and financial data. Enab…
Connect AI assistants to GitHub - manage repos, issues, PRs, and workflows through natural language.
Related MCP Servers
- AlicenseNot gradedqualityBmaintenanceEnables AI assistants to interact with Power BI datasets through natural language, allowing users to query data, generate DAX, and get insights without leaving their AI assistant.123MIT
- AlicenseNot gradedqualityDmaintenanceEnables LLM clients to analyze and interact with Power BI (.pbix) files, providing access to data models, DAX measures, Power Query code, table relationships, and data contents through natural language.MIT
- AlicenseBqualityDmaintenanceEnables AI assistants to interact with Microsoft Fabric and Power BI services through the Model Context Protocol. Users can manage workspaces, execute DAX queries, refresh datasets, and create Fabric notebooks using natural language.612 npm2MIT
- FlicenseNot gradedqualityDmaintenanceEnables controlling Power BI with AI through natural language commands for creating DAX measures, explaining metrics, suggesting KPIs, and organizing models.-