# Power BI Unified MCP

> Power BI Unified MCP — amritauji-powerbi-unified-mcp. Use this tool when you need to streamline Power BI report creation and semantic model engineering through a unified interface, solving problems of complexity and inefficiency in data visualization and business intelligence. It takes in data sources and model requirements as inputs and outputs optimized Power BI reports and semantic models. Ideal for use cases where AI-driven insights and efficient report authoring are crucial, such as data analysis and business decision-making.

Canonical page: https://skillsregistry.net/skills/amritauji-powerbi-unified-mcp  
JSON: https://api.skillsregistry.net/v1/skills/amritauji-powerbi-unified-mcp

## Description

One MCP interface for AI-driven Power BI semantic-model engineering and PBIR/PBIP report authoring.

## Trust

- **Trust score (0–1):** 0.53
- **Verification tier:** scanned
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ww40nmw1ua)
- **Repository:** <https://github.com/amritauji/powerbi-unified-mcp>

## 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": "amritauji-powerbi-unified-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/amritauji-powerbi-unified-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/amritauji-powerbi-unified-mcp/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