# Microsoft Fabric MCP Server

> Use this tool when you need to integrate AI assistants with Microsoft Fabric and Power BI services, enabling natural language interactions to manage workspaces, execute queries, and refresh datasets. It solves problems related to data analysis and visualization by providing a conversational interface to these services. The tool accepts natural language inputs and outputs results from Microsoft Fabric and Power BI, making it ideal for use cases where users need to access and manipulate data using voice or text commands.

Canonical page: https://skillsregistry.net/skills/snahrup-microsoft-fabric-mcp  
JSON: https://api.skillsregistry.net/v1/skills/snahrup-microsoft-fabric-mcp

## Description

Enables AI assistants to interact with Microsoft Fabric and Power BI services through the Model Context Protocol. Users can manage workspaces, execute DAX queries, refresh datasets, and create Fabric notebooks using natural language.

## Trust

- **Trust score (0–1):** 0.90
- **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/opgvuxbo16)
- **Repository:** <https://github.com/snahrup/microsoft-fabric-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": "snahrup-microsoft-fabric-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/snahrup-microsoft-fabric-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/snahrup-microsoft-fabric-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