{"id":5546,"date":"2025-12-11T14:47:10","date_gmt":"2025-12-11T14:47:10","guid":{"rendered":"https:\/\/b2f.pt\/?p=5546"},"modified":"2026-03-11T15:29:27","modified_gmt":"2026-03-11T15:29:27","slug":"power-bi-modeling-mcp-passar-da-intencao-a-modelacao-com-linguagem-natural","status":"publish","type":"post","link":"https:\/\/b2f.pt\/en\/power-bi-modeling-mcp-passar-da-intencao-a-modelacao-com-linguagem-natural\/","title":{"rendered":"Power BI Modeling MCP: Moving from Intention to Modeling with Natural Language"},"content":{"rendered":"<p>What if you could ask your Power BI model to correct itself?<\/p>\n\n\n\n<p>At Ignite 2025, Microsoft released the <strong>Power BI Modeling MCP,<\/strong> an extension that connects AI agents directly to semantic models. Instead of editing object by object, you simply describe what you want in natural language. The agent handles the rest.<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">What is the MCP?<\/h2>\n\n\n\n<p>The Model Context Protocol (MCP) defines how AI agents communicate with external tools. It effectively acts as a universal translator: the user writes in natural language, the LLM converts it into API calls, and Power BI executes the changes.<\/p>\n\n\n\n<p>The Power BI Modeling MCP implements this protocol to create a direct channel between GitHub Copilot and semantic models. Communication occurs through the same APIs that Power BI Desktop uses internally (TOM for metadata, <a href=\"http:\/\/ADOMD.NET\">ADOMD.NET<\/a> for queries), now controlled through natural language instead of clicks.<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">What changes in practice?<\/h2>\n\n\n\n<p>Let\u2019s imagine these day-to-day scenarios:<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Consistency of naming conventions<\/strong><\/p>\n\n\n\n<p><em>\u201cAnalyze the naming conventions in my model and suggest renamings to ensure consistency.\u201d<\/em><\/p>\n\n\n\n<p>The agent scans tables, columns, and measures, identifies patterns and inconsistencies, and then applies the requested corrections. It is possible, for example, to ask it to analyze a specific table and replicate the pattern across the rest of the model.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Automatic documentation<\/strong><\/p>\n\n\n\n<p><em>\u201cAdd descriptions to all measures, columns, and tables, explaining the DAX logic in simple terms.\u201d<\/em><\/p>\n\n\n\n<p>That documentation nobody ever has time to do? Solved with a single prompt. The agent analyses the DAX code and generates descriptions that are understandable for business users.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>Translations and internationalization<\/strong><\/p>\n\n\n\n<p><em>\u201cGenerate a French translation for the model, including tables, columns, and measures.\u201d<\/em><\/p>\n\n\n\n<p><em>Multi-language support<\/em> which normally requires extensive manual configuration, now handled automatically.<\/p>\n\n\n\n<div style=\"height:10px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p><strong>DAX queries and validation<\/strong><\/p>\n\n\n\n<p><em>\u201cExecute this DAX query and analyse the performance metrics.\u201d<\/em><\/p>\n\n\n\n<p>The agent not only executes queries but can also clear the cache, measure execution times, and identify potential performance issues.<\/p>\n\n\n\n<p>\u2026<\/p>\n\n\n\n<div style=\"height:40px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">The power of bulk operations<\/h2>\n\n\n\n<p>Where this tool truly becomes valuable is in bulk operations. Renaming hundreds of objects, applying RLS rules across multiple tables, creating translations for entire models, generating documentation, and so on.<\/p>\n\n\n\n<p>What previously required hours of repetitive work now takes seconds \u2014 and with fewer human errors.<\/p>\n\n\n\n<p>The list of available operations is extensive: management of tables, columns, measures, relationships, partitions, hierarchies, calculation groups, roles, perspectives, translations, and much more.<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Connection to different sources<\/h2>\n\n\n\n<p>The MCP Server connects to three types of sources:<\/p>\n\n\n\n<p><strong>Power BI Desktop:<\/strong> Locally opened .pbix files. Just say \u201cConnect to \u2018[File Name]\u2019 in Power BI Desktop\u201d and the agent locates the corresponding Analysis Services instance.<\/p>\n\n\n\n<p><strong>Fabric Workspaces:<\/strong> Semantic models in the cloud. \u201cConnect to semantic model \u2018[Name]\u2019 in Fabric Workspace \u2018[Workspace]\u2019\u201d and you\u2019re connected to the remote model.<\/p>\n\n\n\n<p><strong>PBIP\/TMDL files:<\/strong> For those working with Power BI Projects and versioning models in Git. The agent can open TMDL folders, make changes, and save them back\u2014all without opening Power BI Desktop.<\/p>\n\n\n\n<p>This last option is particularly interesting for teams that have adopted DevOps practices. It becomes possible to use CI\/CD workflows that rely on MCP to automatically validate or transform models.<\/p>\n\n\n\n<div style=\"height:20px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<figure class=\"wp-block-image size-large\"><img fetchpriority=\"high\" decoding=\"async\" width=\"1024\" height=\"422\" src=\"https:\/\/b2f.pt\/wp-content\/uploads\/2025\/12\/image-52-1024x422.png\" alt=\"\" class=\"wp-image-5544\" srcset=\"https:\/\/b2f.pt\/wp-content\/uploads\/2025\/12\/image-52-1024x422.png 1024w, https:\/\/b2f.pt\/wp-content\/uploads\/2025\/12\/image-52-300x124.png 300w, https:\/\/b2f.pt\/wp-content\/uploads\/2025\/12\/image-52-768x316.png 768w, https:\/\/b2f.pt\/wp-content\/uploads\/2025\/12\/image-52-1536x633.png 1536w, https:\/\/b2f.pt\/wp-content\/uploads\/2025\/12\/image-52-2048x844.png 2048w, https:\/\/b2f.pt\/wp-content\/uploads\/2025\/12\/image-52-18x7.png 18w\" sizes=\"(max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Installation<\/h2>\n\n\n\n<p>The simplest way to get started:<\/p>\n\n\n\n<ol class=\"wp-block-list\">\n<li>Install VS Code<\/li>\n\n\n\n<li>Install the GitHub Copilot and GitHub Copilot Chat extensions<\/li>\n\n\n\n<li>Install the Power BI Modeling MCP extension<\/li>\n<\/ol>\n\n\n\n<p>The MCP server becomes available automatically within Copilot Chat.<\/p>\n\n\n\n<p>For those who prefer other MCP clients (Claude Desktop, for example), manual installation is also available. Simply download the executable and register the server in the client of your choice.<\/p>\n\n\n\n<div style=\"height:60px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Is it worth trying?<\/h2>\n\n\n\n<p>For those who work with Power BI modeling regularly, Power BI Modeling MCP eliminates repetitive work and unlocks possibilities that simply didn\u2019t exist before. The ability to describe intentions instead of executing them manually changes the way we interact with models.<\/p>\n\n\n\n<p>It does not replace technical expertise \u2014 you still need to know what you intend to do and validate the results. But it frees up time for the work that truly matters.<\/p>\n\n\n\n<p>Power BI modeling is evolving. This tool is a first step in an interesting direction.<\/p>\n\n\n\n<p>In the <strong>B2F<\/strong>, we closely follow the latest developments in the Microsoft ecosystem. If you want to explore Power BI Modeling MCP or need support with Power BI and Fabric, talk to us!<\/p>","protected":false},"excerpt":{"rendered":"<p>E se pudessem pedir ao vosso modelo Power BI para se corrigir sozinho? No Ignite 2025, a Microsoft lan\u00e7ou o Power BI Modeling MCP, uma extens\u00e3o que liga agentes de IA diretamente aos modelos sem\u00e2nticos. Em vez de se editar objeto a objeto, passa-se a descrever o que se pretende em linguagem natural. O agente [&hellip;]<\/p>","protected":false},"author":1,"featured_media":5542,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1],"tags":[92,42,91,93,90],"class_list":["post-5546","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-business-intelligence","tag-ai","tag-business-intelligence","tag-data-analytics","tag-mcp","tag-power-bi"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.2 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\r\n<title>Power BI Modeling MCP: Passar da Inten\u00e7\u00e3o \u00e0 Modela\u00e7\u00e3o com Linguagem Natural - B2F - Business to Future<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"https:\/\/b2f.pt\/en\/power-bi-modeling-mcp-passar-da-intencao-a-modelacao-com-linguagem-natural\/\" \/>\r\n<meta property=\"og:locale\" content=\"en_GB\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"Power BI Modeling MCP: Passar da Inten\u00e7\u00e3o \u00e0 Modela\u00e7\u00e3o com Linguagem Natural - B2F - Business to Future\" \/>\r\n<meta property=\"og:description\" content=\"E se pudessem pedir ao vosso modelo Power BI para se corrigir sozinho? 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