Power BI

Analytics

Neotask unlocks your Power BI data through OpenClaw — query semantic models, generate DAX, and build data models through conversation without opening Power BI Desktop.

What You Can Do

With 24 actions across two Power BI MCP servers, Neotask through OpenClaw covers both semantic model querying and data model building.

Remote MCP — Query & Analysis (3 actions)

  • `Get Semantic Model Schema` — Understand the structure of any Power BI semantic model
  • `Generate Query` — Create DAX or MDX queries from natural language descriptions
  • `Execute Query` — Run queries directly against your semantic model

    • Modeling MCP — Data Model Management (21 actions)

    Full control over Power BI semantic model structure through conversation:

  • Connection and database operations
  • Table, column, and measure management
  • Relationship creation and management
  • DAX query execution and tracing
  • Calculation groups, hierarchies, security roles
  • Perspectives, named expressions, and cultures
  • Object translations and calendar operations

    • Every action runs autonomously or requires your approval — you decide.

    Try Asking

  • "Query the Sales semantic model: total revenue by product category for Q1 2026 versus Q1 2025"
  • "Generate a DAX measure that calculates 30-day rolling average sales and add it to our Revenue table"
  • "What tables and measures are available in our Financial Reporting semantic model?"
  • "Create a relationship between the Orders table and the Customers dimension on CustomerID"
  • "Add a security role to our Finance model that restricts the European team to only seeing EU data"
  • "Run this DAX query against our HR model: average headcount by department for each month this year"
  • "Build a calculation group for our time intelligence measures: MTD, QTD, and YTD variants"
  • "What's the query performance like for our largest semantic model? Show me trace data."

    • Pro Tips

  • Schedule automated morning reports that query Power BI semantic models and post key metrics to leadership Slack channels — your data reaches decision-makers without anyone opening Power BI.
  • Enable approval gates on measure and relationship creation — changes to your semantic model affect all downstream reports and deserve review.
  • Connect Power BI with Snowflake in an app group: when new data lands in the warehouse, agents refresh the relevant Power BI datasets and post confirmation to the ops channel.
  • Multi-agent teams can run complete BI development cycles: one agent builds the data model, another creates measures, and a third validates the calculations before publishing.
  • The Generate Query action is powerful for ad-hoc analysis — describe what you need in plain English and agents generate the correct DAX without you writing it.

    • Works Well With