"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 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.

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

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

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.

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

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

A remote MCP gateway that lets any MCP client sign in as the end user to discover curated semantic models, read finance glossaries and recipes, inspect schemas and report metadata, and generate or execute DAX through an on-behalf-of token, so row-level security and Build permissions stay enforced. Finance know-how lives centrally in server-side skill files and instructions, so every connected client benefits without per-client configuration.

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

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.

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.