"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.

Enables users to describe dashboards in plain language so an MCP client can bind existing measures and columns to Power BI visuals, producing validated new project copies without opening Power BI Desktop or altering the source.

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 agents to discover how a website serves its data, verify sources with evidence, export OpenAPI 3.1, and generate tested TypeScript or Python clients.

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.

Enables MCP-compatible AI clients to build and modify Power BI reports through natural language, including pages, visuals, themes, filters, and formatting using local PBIR files without REST API keys or the Power BI service.

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.

An MCP server that exposes any REST API to LLMs through runtime discovery, providing tools to browse endpoints, fetch schemas, and apply business rules without hardcoding or schema duplication.

MCP server for NASA POWER climate data, offering a climatology tool to retrieve long-term monthly averages for any coordinate. Supports natural language queries through the Pipeworx gateway.

One MCP interface for AI-driven Power BI semantic-model engineering and PBIR/PBIP report authoring.

Bridges the Model Context Protocol to the Tabular Object Model, enabling natural language inspection, optimization, and authoring of DAX in Power BI Desktop.

Enables users to build and modify Power BI report pages, visuals, themes, filters, and formatting from natural language by reading and writing PBIR project files locally.

A personal MCP bridge that lets ChatGPT drive a local Codex CLI, translating instructions into Codex app-server threads and returning compact summaries of what Codex did.

A secure cloud MCP server for Antigravity AI that provides AI agents with full-stack developer and cybersecurity capabilities, using SSE transport and API key authentication.

MCP server for Korean government power/energy statutory plans. Enables AI agents to search and retrieve public power plan documents.

This MCP server provides a web-ready SSE bridge for Microsoft's Power BI Modeling MCP Server, enabling URL-based interaction with Power BI semantic models from any programming language without local stdio piping. It features automatic Azure authentication and dynamic binary resolution for seamless Power BI data analysis.

Enables AI assistants to query Power BI datasets via MCP, automatically anonymizing sensitive data before it reaches the AI, and generating rich HTML reports from natural language questions.

A Python-based MCP server that exposes Power BI semantic models to Claude, enabling natural-language querying of Power BI data through tools like listing workspaces, exploring datasets, executing DAX queries, and triggering refreshes.

MCP server for Microsoft Power BI and Fabric, enabling Claude to discover workspaces, semantic models, generate and execute DAX queries, and retrieve report metadata via device-code authentication.

Enables semantic search across multiple Qdrant vector database collections, supporting multi-query capability and providing semantically relevant document retrieval with configurable result counts.

Enables clients to interact with a bundled documentation corpus through MCP tools and resources over HTTP or stdio, and provides a trajectory evaluation harness for grading agent performance.

Enables verifiable business intelligence over federated data sources, supporting semantic queries, drill-down to source rows, and raw SQL with explicit verification status.

An MCP server that enables Claude to create, run, and debug Power Automate flows, with tools to explain failures and compare runs.

An MCP server that lets agents inspect, operate, and author Microsoft Power Automate cloud flows from a CLI/agent context.