Can AI agents automate Power BI?

Power BI has broad automation coverage across service administration, embedding, semantic models, reports, refresh, and agent workflows. The REST APIs manage workspaces, apps, capacities, dashboards, dataflows, semantic models, gateways, imports, pipelines, reports, users, audit scans, and embedded content. XMLA and the Tabular Object Model provide deeper semantic model querying and metadata control, while Power BI Project and TMDL files make model changes reviewable in source control. Microsoft identity platform supports delegated users and unattended service principals, but tenant settings, workspace roles, API-specific limitations, capacity, and licenses remain separate gates. Microsoft publishes cross-platform Power BI PowerShell modules for administration, capacities, data, reports, and workspaces. The first-party Power Automate connector provides targeted actions and triggers for datasets, queries, alerts, goals, and report-driven flows rather than the full service API. Power BI now has two official MCP servers in public preview: a Fabric-hosted remote server for schema-aware DAX queries and insights, and a local server for transactional semantic model reads, writes, bulk edits, query validation, and PBIP or TMDL work. Their combined coverage is substantial, but preview contracts, tenant enablement, client registration, destructive model operations, data leaving Fabric boundaries, and model-dependent query quality keep MCP at the vendor preview anchor. Repeatable computer-use viability was not established.

Best path today: api · Overall automatability: 8/10