SearchTools.ai's automated opinion — blended from public reviews, community signals, and development activity. Not an editorial rating or statement of fact.Click the score for the full breakdown.Quality
Estimated visits per month, across the web app and mobile apps.Visits83.2M/mo
Largest visitor share — 21% of traffic from United States.Top region21%United States

Low confidence — this score is based on limited public data (mostly aggregate ratings, with little independent discussion or review detail), so it may not reflect real-world quality.

What it is

Overview

Fabric IQ MCP Server connects AI agents to Power BI reports through the Model Context Protocol. The tool lets agents run DAX queries and read report metadata without leaving the agent's interface. Built as a connector layer — not a model itself — that sits between conversational AI tools and Microsoft Fabric data sources. The audience in the 83.2M monthly visits skews toward BI developers and data analysts who already manage Power BI workspaces and want to query them from an AI agent.

At a glance

Usability & Quality overview

Inputs
Outputs
Platforms

Best for

  • Power BI semantic model exploration
  • Natural-language DAX querying
  • Agentic analytics workflows

Watch out for

  • Client integrations that surface the wrong MCP field
  • Early-preview bug behavior
  • Limited evidence from real long-form user accounts
Built on another provider's modelResells a third-party model API

Fabric IQ MCP Server connects AI agents directly to Power BI reports and semantic models in Microsoft Fabric, letting agents run DAX queries and inspect metadata using your existing permissions. This is a specialized workflow tool that automates multi-step data access without manual prompting, not a generic chatbot wrapper.

Strong evidence

Quality score

Updated monthlyLow confidence
62/100

Fabric IQ MCP Server Read-only MCP access to Power BI data for agentic analytics, but early client integrations can mis-handle results.

Score breakdown
=62/100
User verdict ×62 30Adoption ×22 22Honesty ×16 11Adjustments -238 to reach 100

This score is our editorial judgment, computed automatically from the sources, weights, and dates shown above. It reflects the data we could verify as of November 12, 2026, not a guarantee or statement of fact about Fabric IQ MCP Server. Third-party ratings and quotes belong to their original platforms and authors. Thin data lowers our confidence label, and we say so instead of guessing. Work on Fabric IQ MCP Server? Dispute any datapoint and we will review it, publish your response, and correct verified errors.

PricingUnknown

Individual plan details haven't been verified yet — they'll appear here on the next data refresh.

Watch & learn

Video content

YouTube
Fabric IQ MCP Server: What AI Agents Can Read From Power BI YOUTUBE298 views

Fabric IQ MCP Server: What AI Agents Can Read From Power BI

The-Trusted-Advisor29 days ago

Capabilities

Key features

Analytics Assistant

Interprets data, surfaces trends, and answers questions about your business metrics

Developer Tools

Provides utilities that help programmers build, test, and ship software faster

Data Mining

Extracts patterns and useful information from large datasets for analysis

Questions

Frequently asked

What is Fabric IQ MCP Server?

Fabric IQ MCP Server is a Model Context Protocol interface that connects AI agents and applications to Power BI reports and semantic models. It provides a standardized way for AI agents to discover content, inspect metadata, search values, and execute DAX queries against Power BI data while respecting existing Microsoft Fabric security permissions and row-level security.

What authentication does Fabric IQ MCP Server require?

The server requires delegated OAuth 2.0 authentication through Microsoft Entra ID with a work or school account. Users need Item.Read.All and Item.Execute.All permissions from the Power BI Service API. Service-principal and application-only authentication are not supported.

What tools does Fabric IQ MCP Server provide for working with Power BI?

The server exposes six primary tools: DiscoverArtifacts for searching reports and models, ResolveFabricItem for converting URLs to identifiers, GetReportMetadata for retrieving report information, GetSemanticModelSchema for obtaining schema details, ValueSearch for locating specific values, and ExecuteQuery for running DAX queries. AI agents can combine these tools to systematically query and analyze Power BI data.

Does Fabric IQ MCP Server respect Power BI security permissions?

Yes, the server applies the signed-in user's existing Microsoft Fabric permissions, including Power BI row-level security and object-level security. Queries only return data that the authenticated user can already access through their normal Power BI permissions, ensuring data security is maintained.

What types of Power BI content does Fabric IQ MCP Server support?

The server supports Power BI reports and semantic models only. It does not support Power BI dashboards, paginated reports, Power BI apps, Fabric ontologies, or data agents.

How many rows can ExecuteQuery return from a semantic model?

ExecuteQuery returns up to 250 rows by default when maxRows is not specified, though users can request larger result sets. For large responses, the server automatically returns an embedded CSV resource to handle the data efficiently.

Can I query multiple semantic models in a single request?

No, each ExecuteQuery call targets only one semantic model and cannot join or query multiple semantic models in a single execution. You would need to make separate queries for different semantic models.

What MCP clients can connect to Fabric IQ MCP Server?

GitHub Copilot CLI users can connect through a preregistered Microsoft Entra application by adding the server configuration to their MCP config file. Other MCP clients require their own app registration as a single-tenant application in the Microsoft Entra admin center with appropriate redirect URI and delegated permissions.

How current is the data returned by Fabric IQ MCP Server queries?

Query results reflect the data available in the semantic model and are only as current as the latest successful refresh of that model. The server provides read-only access to existing Power BI data and does not perform real-time data updates.

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