# Semantic Model MCP Server

> Use this tool when you need to connect to Microsoft Fabric and Power BI semantic models, enabling data management and analysis through features like workspace browsing, dataset management, and DAX queries. It solves problems related to model creation, editing, and optimization, and provides a Best Practice Analyzer to ensure data quality and adherence to standards. Ideal for use cases involving data modeling, business intelligence, and data analysis, it accepts inputs like TMSL scripts and DAX queries, and outputs optimized semantic models and analysis results.

Canonical page: https://skillsregistry.net/skills/nahtheking-semantic-model-mcp  
JSON: https://api.skillsregistry.net/v1/skills/nahtheking-semantic-model-mcp

## Description

MCP server for connecting to Microsoft Fabric and Power BI semantic models, enabling workspace browsing, dataset management, TMSL retrieval, DAX queries, model creation/editing, and includes a Best Practice Analyzer with 71 rules.

## Trust

- **Trust score (0–1):** 0.72
- **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:** [Glama](https://glama.ai/mcp/servers/tdp1s4t2lt)
- **Repository:** <https://github.com/nahtheking/semantic-model-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": "nahtheking-semantic-model-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nahtheking-semantic-model-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nahtheking-semantic-model-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