# ms-fabric-mcp-server

> Use this tool when you need to interact with Microsoft Fabric for data engineering and analytics tasks, such as managing workspaces, notebooks, and SQL queries. It solves problems related to data pipeline management, Livy Spark session management, and notebook operations, providing a comprehensive set of operations with standard Azure authentication. The tool takes Azure authentication credentials as input and outputs managed workspaces, executed queries, and pipeline results.

Canonical page: https://skillsregistry.net/skills/bablulawrence-ms-fabric-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/bablulawrence-ms-fabric-mcp-server

## Description

Enables AI agents to interact with Microsoft Fabric by exposing tools for managing workspaces, notebooks, SQL queries, pipelines, and Livy Spark sessions. It provides a comprehensive set of operations for data engineering and analytics tasks using standard Azure authentication.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kpbsjrg51h)
- **Repository:** <https://github.com/bablulawrence/ms-fabric-mcp-server>

## 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": "bablulawrence-ms-fabric-mcp-server"
    }
  }
}
```

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