"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.

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.

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.

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.

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 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.

Enables local authoring and editing of .pbip projects by exposing semantic model (TMDL) and report layout (JSON) operations, including measure updates, visual property queries, cross-layer renames, and structural validation, without cloud authentication.

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.

Enables Claude to read, create, and edit a single pre-bound PowerPoint file via MCP tools, with security bound to one specific .pptx file.

Enables AI assistants to edit Power Automate cloud flows live, including reading/writing flow definitions, managing connectors, and syncing changes, with no admin rights or app registration required.

A self-hosted MCP server that enables AI assistants to inspect and manage Microsoft Power Automate cloud flows and Dataverse records locally, using your own Azure identity.

A Model Context Protocol (MCP) server that enables AI assistants to interact with Excel Power Pivot data models. Create and manage DAX measures, relationships, and more through natural language.

Enables AI assistants to discover and interact with local Power BI Desktop instances, including inspecting table/column schema and executing DAX queries.

Enables agents to convert Markdown into WhatsApp-compatible formatting, including styled text, lists, and tables that fit a phone's monospace width.

Enables MCP clients to turn Make blueprints and Zapier exports into n8n workflow files, with a per-step report of what converted, what to review, and what must be finished by hand. Also lists zaps, explains how individual steps are handled, checks workflow files for broken links or placeholders, and can upload the result to an n8n instance as an inactive workflow.

Enables discovery of Fabric/Power BI workspaces and semantic models, execution of DAX queries, and generation of executive HTML reports with visualizations.

AI-powered MCP server for file renaming, organization, and PDF splitting using natural language prompts and content analysis.

Enables turning requirements documents into RFCs, functional test scenarios, and a traceability matrix, with tools to parse, diff, and verify coverage.

Enables searching and retrieving documentation from crawled documentation sites as an MCP server, allowing coding agents to query real docs instead of relying on training data.

A Model Context Protocol server that converts Markdown content to HTML format.

Enables an MCP-compatible AI client to author Blender Python, run Blender, import the resulting asset into Unity with materials and a prefab, place it in the active scene, verify the import, and revise the same asset using stable IDs.

This project builds a read-only MCP server. For full read, write, update, delete, and action capabilities and a simplified setup, check out our free CData MCP Server for SAP BusinessObjects BI (beta): https://www.cdata.com/download/download.aspx?sku=GJZK-V&type=beta

Enables data engineers and BI professionals to perform data pipeline development, quality assurance, visualization, and API integration locally with AI assistance.

Enables AI assistants to extract invoice data from existing PDFs and create EN 16931-compliant ZUGFeRD/Factur-X e-invoices or XRechnung XML locally, without uploading documents.