semantic-model-consumption

Execute raw DAX queries and inspect Microsoft Fabric Power BI semantic model metadata.

3|6|Updated Jun 21, 2024
One-click install
npx skills add https://github.com/rritec/Microsoft-Fabric --skill semantic-model-consumption-rritec
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: semantic-model-consumption
Source: https://github.com/rritec/Microsoft-Fabric/tree/main/skills/plugins/fabric-skills/skills/semantic-model-consumption
Command: npx skills add https://github.com/rritec/Microsoft-Fabric --skill semantic-model-consumption-rritec

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill removes the friction of querying Microsoft Fabric Power BI semantic models when you already know the DAX or need to inspect model structure, letting you retrieve metadata and results without manual tool hunting.

Core Features & Use Cases

  • Raw DAX execution: Run EVALUATE-based queries directly against a semantic model through the MCP ExecuteQuery tool.
  • Metadata inspection: Discover tables, columns, measures, relationships, hierarchies, partitions, roles, cultures, and dependencies with INFO.VIEW and INFO functions.
  • Read-only analysis workflow: Use it for model exploration, schema validation, and dependency checks before building or debugging analytics logic.
  • Use case: A user can quickly verify a measure definition, inspect table lineage, and test a DAX query against a live Fabric semantic model.

Quick Start

Ask the assistant to locate the target semantic model, inspect its metadata, and run my exact DAX query against it.

Frequently Asked Questions about semantic-model-consumption

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

FAQPage Schema
How do I run a raw DAX query against a Microsoft Fabric Power BI semantic model?

You can run raw DAX queries by executing EVALUATE-based statements directly against a Microsoft Fabric Power BI semantic model using the MCP ExecuteQuery tool, retrieving results without manual tool hunting.

What is the best way to inspect Power BI semantic model metadata for tables and relationships?

Inspect Power BI semantic model metadata by leveraging INFO.VIEW and INFO rowsets to discover tables, columns, measures, relationships, hierarchies, partitions, roles, cultures, and dependencies for read-only schema validation.

Can I use MCP ExecuteQuery to explore Microsoft Fabric semantic models without altering them?

Yes, MCP ExecuteQuery supports read-only discovery of Microsoft Fabric semantic models, allowing you to explore schema, validate table lineage, and test measure definitions without modifying the underlying model.

How do I discover measures and hierarchies in a Power BI semantic model?

Discover measures and hierarchies in a Power BI semantic model by querying INFO rowsets, which expose model dependencies and structural definitions for analysis and debugging workflows.

Do I need MCP artifact discovery to query a Fabric semantic model?

Yes, you need MCP artifact discovery alongside ExecuteQuery access and INFO.VIEW or INFO rowsets to locate target semantic models, inspect schema metadata, and execute DAX queries successfully.