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

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.

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 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.

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

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

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

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.

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

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 fully working MCP server built from scratch in plain Node.js, implementing tools, resources, prompts, notifications, and sampling according to the MCP specification, designed to connect to Claude Desktop or any MCP client.

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

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.

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

Provides MCP tools for setting up and managing Hephaestus development environment with Docker containers, including starting/stopping services, initializing databases, and troubleshooting.

Local-first MCP server and Chromium extension for AI-assisted Microsoft Power Automate work, enabling users to inspect, validate, edit, run, review, and revert cloud flows using a browser session.