semantic-model-consumption

Name: semantic-model-consumption
Availability: InStock
Author: Microsoft

Run DAX queries against Fabric semantic models to inspect metadata.

952|267|Updated Feb 17, 2026

Search Tags:#discovery #metadata #fabric #dax #semantic-model #executequery #info-view

Ready to run

npx skills add https://github.com/microsoft/skills-for-fabric --skill semantic-model-consumption

💬 Prompt for ChatGPT / Claude Chat▼

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.