"PowerBI and Databricks Genie Code Integration" matching MCP servers:

Connects to the Databricks Genie API, enabling LLMs to ask natural language questions, run SQL queries, and interact with Databricks conversational agents.

Enables AI assistants to interact with Databricks workspaces through natural language, supporting SQL queries, cluster management, jobs, Genie AI, Unity Catalog, and more.

Enables AI-assisted development by running and testing code directly on Databricks clusters via natural language, then deploying Databricks Asset Bundles.

Enables AI assistants to interact with Databricks Genie Spaces through MCP tools. Provides secure OAuth-based access to query and interact with Databricks data catalogs and schemas via custom Genie interfaces.

Enables MCP clients to ask Databricks Genie questions, check Fabric mirroring health, manage Power BI datasets and reports, and create Copilot-ready handoff prompts.

Enables AI assistants to query PowerBI workspaces, datasets, and execute DAX queries through the PowerBI REST API.

Self-healing test automation MCP server that diagnoses and fixes issues in mobile and web apps, including a one-command vibe-check to prioritize broken functionality.

Exposes Databricks REST APIs as MCP tools for managing and querying a Databricks workspace, including clusters, jobs, SQL, Unity Catalog, and more.

A read-only MCP server that enables users to query Databricks SQL, browse metadata, and monitor Delta Lake tables. It also supports tracking Databricks Jobs, DLT Pipelines, and cluster metrics through natural language interfaces.

Enables stdio-only MCP hosts like Claude Desktop and Cursor to securely connect to Payman's remote Genie MCP server, exposing the ask_genie tool for payments and finance tasks via a local bridge.

An MCP server for interacting with Microsoft PowerBI REST API, providing tools for data cleaning, transformation, analysis, and visualization within PowerBI.

Enables MCP-compatible clients to execute Databricks CLI commands without shell interpolation, with pipes and redirects stripped so clients can filter or format raw output. It supports any subcommand permitted by the configured Databricks authentication profile.

Enables natural-language interaction with a Databricks Lakehouse, including running SQL on warehouses, tracking and canceling long-running queries, and exploring Unity Catalog metadata via the workspace REST API.

Enables AI assistants to interact with Netgear Genie cable modems to retrieve hardware status, DOCSIS channel data, RF signal health diagnostics, and event logs, and to perform confirmed modem reboots or log clearing.

Korean-content MCP that consolidates real-time trends from Naver, Daum, Google, YouTube, and Zum, includes a 100+ Korean holiday database, and provides a viral-score predictor for content optimization.

Enables management of Unity Catalog resources (catalogs, schemas, tables) and execution of SQL queries on Databricks SQL Warehouses.

Provides MCP tools to interact with Databricks SQL warehouses, enabling metadata discovery, table reading, and DDL operations.

Safe, read-only SQL analytics for AI agents over MCP, enabling exploration, profiling, and querying of data without mutation risk.

A Model Context Protocol server that lets LLM clients answer business questions in natural language over a Databricks dataset without writing SQL by hand.

Enables discovery of Power BI workspaces and semantic models via REST API and Microsoft Modeling MCP, with authentication options including service principal and device login.

Authenticates with Databricks via OAuth and exposes remote MCP tools from Databricks applications, enabling interaction with Databricks-hosted tools through Claude.

A fixed Model Completion Protocol (MCP) server that enables LLMs like Claude Code to interact with Databricks functionality including clusters, jobs, notebooks, and SQL execution through natural language commands.

Enables LLM-powered tools to interact with Databricks clusters, jobs, notebooks, SQL warehouses, and Unity Catalog through the Model Completion Protocol. Provides comprehensive access to Databricks REST API functionality including cluster management, job execution, workspace operations, and data catalog operations.

Enables querying open Power BI Desktop models locally, including discovering instances, listing tables and measures, and running DAX queries without cloud login or publishing.

Enables AI assistants to execute SQL queries and explore databases, tables, and catalogs on Databricks using Unity Catalog.

Enables LLMs to manage Databricks clusters, jobs, and notebooks while providing schema references for gold and silver data layers. It allows agents to perform data discovery and execute SQL queries directly against Databricks environments.

Enables discovery of Power BI workspaces and datasets, retrieval of semantic model definitions (TMDL), and execution of DAX queries through the Power BI and Microsoft Fabric REST APIs, using MSAL/WAM authentication for secure token caching.

Exposes Databricks REST API as MCP tools for managing clusters, jobs, notebooks, SQL queries, Unity Catalog, and more. Enables AI agents to interact with Databricks workspaces through natural language.

databricks-mcp-server

This is a Model Context Protocol (MCP) server for executing SQL queries against Databricks using the Statement Execution API. It enables AI assistants to directly query Databricks data warehouses, analyze database schemas, and retrieve query results in a structured format

MCP server for Power BI — local PBIX file analysis, cloud API operations, report export, and semantic model extraction from Power BI Desktop.

Enables interaction with Power BI and Fabric through MCP tools, including workspace discovery and semantic model queries, with an agent loop and HTTP endpoints for Next.js backends.

Enables AI assistants to interact with the Databricks platform through 263 tools and 8 prompt templates, covering Unity Catalog, SQL, Compute, Jobs, Pipelines, and more.

MCP server for building and inspecting Power BI report visuals by editing PBIR files on disk, enabling page, chart, slicer, and layout management.

Provides tools for interacting with Databricks clusters, jobs, and workspace operations via the Model Context Protocol.

Enables AI assistants like Claude to interact with Databricks workspaces through secure OAuth authentication, allowing users to execute SQL queries, manage clusters, create jobs, and access workspace resources through natural language.

Enables AI assistants like Claude to interact with Databricks workspaces through custom prompts and tools. Supports running SQL queries, managing clusters, creating jobs, and accessing workspace resources via the Databricks SDK.

Automates Power BI dashboard creation by selecting templates, mapping dataset schemas, and injecting data into PBIP files via AI.

A Model Context Protocol server that enables LLMs to interact with Databricks workspaces through natural language, allowing SQL query execution and job management operations.

Enables AI assistants like Claude to interact with Databricks workspaces through a secure MCP server running on Databricks Apps. Supports custom prompts and tools using the Databricks SDK.