Power BI semantic 모델 작업에 대해 알아보기 - 문서, naming 감사, 그리고 더 - GitHub Copilot 코딩 에이전트에, Power BI 모델링 MCP 서버. GitHub 이슈를 열고 에이전트에 할당하고 pull request를 검토합니다.

그것이 작동하는 방법

이 템플렛은 3개 조각을 결합합니다:

1. ** PBIP 형식의 Power BI 프로젝트 ** - semantic 모델 및 보고서 소스 코드, src/의 Power BI 프로젝트 파일로 저장.
2. ** Power BI 모델링 MCP Server** - semantic 모델 (테이블, 측정, 관계, RLS 등)에 코딩 에이전트 프로그래밍 액세스를 제공합니다.
3. Skills - .github/skills/]에 있는 curated step-by-step 워크플로우가 일관된 팀 표준 결과를 생성하는 에이전트를 안내합니다.

시작하기

1.Repository - 클릭 이 템플릿 사용 ** 및 선택 ** GitHub 계정의 새로운 저장소를 선택하십시오.

2. ** MCP 서버 구성 ** - ** 설정 > Copilot > Cloud Agent** 및 ** MCP 구성**:

** MCP 설정**을 저장합니다.

3.Create the issue and assign the Agent - semantic model에서 수행한 작업을 설명하는 새로운 GitHub 이슈를 엽니다.

예금 문제:

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.