mcp-engine-public
Health Gecti
- License — License: NOASSERTION
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Community trust — 216 GitHub stars
Code Uyari
- Code scan incomplete — No supported source files were scanned during light audit
Permissions Gecti
- Permissions — No dangerous permissions requested
This tool is an MCP server that enables AI assistants like Claude or ChatGPT to interact with Power BI Desktop files programmatically. It allows users to run queries, modify measures, and manage data models through natural language commands.
Security Assessment
Because the tool runs locally and reads/modifies local Power BI files, it inherently accesses sensitive business data and proprietary model structures. The project claims to collect zero telemetry and states that all data processing happens locally on the user's machine, with the caveat that the connected AI assistant may send conversational data to its respective provider (e.g., Anthropic, OpenAI). The automated code scan could not verify the underlying source code, meaning potential hardcoded secrets, hidden network requests, or embedded malicious behavior cannot be definitively ruled out by this audit. Given the highly sensitive nature of business intelligence data combined with the unaudited source code, the overall risk is rated as Medium.
Quality Assessment
The project appears to be well maintained, with repository activity reported as recent as today. It has garnered 216 GitHub stars, indicating a solid and growing level of community trust. However, there is a discrepancy in the licensing: the automated scan detected "NOASSERTION," while the documentation explicitly states it uses a Proprietary license permitting personal and commercial use. A major quality concern is the inability to verify the tool's source code directly. Unlike standard open-source repositories, this project appears to distribute pre-compiled binaries, which restricts transparent peer review.
Verdict
Use with caution: while actively maintained and highly rated, the lack of accessible source code for deep auditing means you must implicitly trust the author with your local Power BI data.
The 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, create and modify measures, manage relationships, and perform advanced analytics - all through natural conversation.
MCP ENGINE
Rollback mistakes. Test before deploy. Control what AI can change.
Quick Links
- Full Documentation - Installation, guides, and examples
- Download Latest Release
- Get Support - FAQ and troubleshooting
What It Does
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 mcpengine.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.
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