"How to retrieve data from Power BI" matching MCP servers:

An MCP (Model Context Protocol) server that lets AI agents manage Power BI workspaces, datasets, and refreshes via natural language.

Enables AI assistants to programmatically manage Power BI workspaces, reports, and dashboards while executing DAX queries and triggering dataset refreshes. It supports secure OAuth2 authentication for operations like report exporting, workspace management, and real-time push dataset updates.

Enables an AI application to connect to Power BI Desktop semantic models, discover their tables, columns, measures, and metadata, and validate and execute DAX queries so users can ask analytical questions in natural language and receive explained results.

Enables AI applications to discover and connect to Power BI Desktop semantic models, inspect tables, columns, and measures, and validate or execute DAX queries through MCP.

An MCP server for indexing and searching local text files using late-interaction retrieval (ColBERT-style MaxSim), enabling token-level relevance matching.

A read-only MCP server that reports BI pipeline readiness, blockers, and the next allowed action for governed Power BI workflows. It never writes files, executes warehouse work, or grants human approvals.

MCP server that renders bar, line, and pie charts from data using QuickChart, returning PNG file paths.

This read-only MCP Server allows you to connect to Power BI XMLA data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

A minimal MCP server with get_weather and create_ticket tools, used for testing MCP servers across protocol, unit, eval, transport, and auth layers.

An AI recipe recommendation server based on the MCP protocol, providing functions such as recipe query, classification filtering, intelligent dietary planning, and daily menu recommendation.

Local MCP server for editing Power BI Project reports saved in PBIR format.

Enables Claude Code to read and modify Power BI data models locally, including searching DAX formulas and editing measures through a direct SSAS connection.

Enables AI assistants to interact with Power BI datasets through natural language, allowing users to query data, generate DAX, and get insights without leaving their AI assistant.

Enables AI applications to interact with Power BI through the Model Context Protocol, supporting comprehensive API operations including data retrieval and management.

Connects AI assistants like Claude to Blue Iris security camera software, enabling natural language queries about camera status, alerts, and configurations.

Enables exploring Microsoft Fabric / Power BI workspaces and semantic models, and executing ad-hoc DAX queries.

Enables MCP-compatible coding agents to schedule, check, postpone, and cancel Windows host shutdowns from WSL.

Enables natural-language interaction with Power BI REST API through MCP tools, allowing GenAI applications to access approved business intelligence capabilities and analytics.

Build Power BI reports with natural language through an MCP server that connects AI assistants to Power BI's PBIR file format for creating pages, visuals, themes, and filters locally.

The Power BI Modeling MCP Server implements the MCP specification to create a seamless connection between AI agents and Power BI semantic models. This allows developers and AI applications to interact with Power BI models in entirely new ways, from using natural language to execute modeling changes to autonomous AI agentic development workflows.