# Power BI MCP Engine

> Use this tool when you need to interact with Power BI models using natural language, enabling AI assistants to execute DAX queries, create and modify measures, and manage relationships. It solves problems related to data analysis and visualization, providing optimized performance and supporting personal and commercial use cases. The tool accepts natural language inputs and outputs results from Power BI models, ideal for use in data-driven applications and business intelligence scenarios.

Canonical page: https://skillsregistry.net/skills/maxanatsko-powerbi-engine  
JSON: https://api.skillsregistry.net/v1/skills/maxanatsko-powerbi-engine

## Description

Enables AI assistants to interact with Power BI models through natural language, supporting DAX query execution, measure creation and modification, relationship management, and performance optimization. Distributed as binary releases for Windows and macOS under a proprietary license permitting personal and commercial use.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-19

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/maxanatsko-powerbi-engine)
- **Repository:** <https://github.com/maxanatsko/mcp-engine-public>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "maxanatsko-powerbi-engine"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/maxanatsko-powerbi-engine` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/maxanatsko-powerbi-engine/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt