Agentic Power BI Development with GitHub Copilot Coding Agent

Learn how to Power BI semantic model tasks - documentation, naming audits, and more - to GitHub Copilot coding agent, powered by the Power BI Modeling MCP Server. Open a GitHub issue, assign it to the agent, and review the pull request it delivers.

How It Works

This template combines three pieces:

1. Power BI project in PBIP format - the semantic model and report source code, stored as Power BI Project files in src/.
2. Power BI Modeling MCP Server - gives the coding agent programmatic access to the semantic model (tables, measures, relationships, RLS, etc.).
3. Skills - curated step-by-step workflows in .github/skills/ that guide the agent to produce consistent, team-standard results.

Getting Started

1. Create your repository - Click Use this template and select Create a new repository in your GitHub account.

2. Configure the MCP server - Navigate to Settings > Copilot > Cloud Agent and paste the following into MCP configuration:

   {
       "mcpServers": {
           "powerbi-modeling-mcp": {
               "type": "stdio",
               "command": "npx",
               "args": [
                   "-y",
                   "@microsoft/powerbi-modeling-mcp",
                   "--start"
               ],
               "tools": ["*"]
           }
       }
   }
   

   Click Save MCP Configuration.

3. Create an issue and assign the agent - Open a new GitHub issue describing the task you want performed on the semantic model.

   Example issues:

   Generate documentation for the Sales semantic model

   Analyze the naming conventions of the Sales semantic model and propose changes

   Then assign the issue to the coding agent:

   

4. Review the pull request - Copilot creates a branch, executes the task, and opens a PR for your review:

   

   You can open the Copilot session log to verify that the skills and Power BI Modeling MCP were loaded successfully:

   

   The agent follows the instructions defined in the skills, so the output conforms to your team's standards:

   

[!TIP]

• Try creating issues from your smartphone - you can delegate tasks to the coding agent from anywhere and focus on reviewing the results.
• This is a starting point. Customize the skills and add new ones to match your team's development standards and workflows.
• Learn more about the GitHub coding agent in the official documentation.

Available Skills

| Skill | Description | |-------|-------------| | semantic-model-documentation | Generates professional Markdown documentation including table relationships, measures, RLS rules, and data sources. | | standardize-naming-conventions | Audits and fixes naming conventions across tables, columns, measures, and display folders. |

You can add your own skills to .github/skills/ to extend the agent's capabilities for your team's workflows.

Acknowledgments

• semantic-model-documentation skill was copied from John Kerski repo github-agentic-workflow-power-bi-mcp-example
• standardize-naming-conventions skill was copied from Kurt Buhler repo power-bi-agentic-development