semantic-model-consumption

Run DAX queries against Fabric semantic models to inspect metadata.

952|267|Updated Feb 17, 2026
One-click install
npx skills add https://github.com/microsoft/skills-for-fabric --skill semantic-model-consumption
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: semantic-model-consumption
Source: https://github.com/microsoft/skills-for-fabric/tree/main/plugins/fabric-skills/skills/semantic-model-consumption
Command: npx skills add https://github.com/microsoft/skills-for-fabric --skill semantic-model-consumption

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Enable read-only discovery of Fabric semantic model metadata by executing DAX queries via MCP tools, eliminating manual model profiling.

Core Features & Use Cases

  • Metadata discovery: INFO.VIEW.* and INFO.* queries for tables, columns, measures, and relationships.
  • Dependency analysis: identify dependencies and data lineage for a given measure or query.
  • Safe, read-only exploration: leverages MCP tooling for non-destructive metadata access.

Quick Start

Run a DAX query against your Fabric semantic model to retrieve metadata using MCP ExecuteQuery.

Frequently Asked Questions about semantic-model-consumption

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query Fabric semantic model metadata using DAX?

Query Fabric semantic model metadata using DAX by executing INFO.VIEW.* and INFO.* functions via MCP tools. This approach retrieves table, column, measure, and relationship details for read-only discovery without manual model profiling.

Can I analyze measure dependencies in a Fabric semantic model?

Analyze measure dependencies in a Fabric semantic model by running DAX queries through MCP ExecuteQuery. This identifies data lineage and dependency chains for specific measures using INFO.* discovery functions.

Do I need MCP tools to retrieve Fabric semantic model metadata?

MCP tooling is required to retrieve Fabric semantic model metadata. The process leverages DiscoverArtifacts and ExecuteQuery MCP tools to run read-only DAX queries against the model for safe, non-destructive metadata access.

What is the best way to discover tables and relationships in a Fabric semantic model?

The best way to discover tables and relationships in a Fabric semantic model is executing DAX INFO.VIEW.* queries. This method safely extracts structural metadata and dependency information directly from the model.

Are there limitations when executing DAX queries for Fabric metadata discovery?

DAX queries for Fabric metadata discovery are limited to read-only operations. This non-destructive approach restricts actions to inspecting existing tables, columns, measures, and relationships without modifying the underlying semantic model.