# fabric-mcp-server

> fabric-mcp-server — user-vik-fabric-mcp-server. Use this tool when you need to access and analyze Microsoft Fabric data-pipeline run history and semantic models. It provides read-only access to run history and DAX queries, with optional write mode for executing pipelines and refreshing datasets. Ideal for data analysis and pipeline management use cases, it accepts DAX queries and pipeline execution requests as inputs and returns query results and execution status as outputs.

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

## Description

Enables read-only access to Microsoft Fabric data-pipeline run history and DAX queries against semantic models, with optional write mode for pipeline execution and dataset refresh.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/z59r1hsazw)
- **Repository:** <https://github.com/user-vik/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": "user-vik-fabric-mcp-server"
    }
  }
}
```

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