# MCP Server for Power BI

> MCP Server for Power BI — nithyagundavarapu-mcp-server-powerbi. Use this tool when you need to enable natural-language querying of Power BI data or integrate Power BI with AI agents like Claude. It exposes Power BI semantic models, allowing users to list workspaces, explore datasets, execute DAX queries, and trigger refreshes through natural language inputs. This tool is ideal for use cases where users want to access Power BI data using conversational interfaces, providing outputs in a human-readable format.

Canonical page: https://skillsregistry.net/skills/nithyagundavarapu-mcp-server-powerbi  
JSON: https://api.skillsregistry.net/v1/skills/nithyagundavarapu-mcp-server-powerbi

## Description

A Python-based MCP server that exposes Power BI semantic models to Claude, enabling natural-language querying of Power BI data through tools like listing workspaces, exploring datasets, executing DAX queries, and triggering refreshes.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/bxs3ijgfcx)
- **Repository:** <https://github.com/NithyaGundavarapu/mcp-server-powerbi>

## 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": "nithyagundavarapu-mcp-server-powerbi"
    }
  }
}
```

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