This article describes how to configure Claude Code so that an AI agent can read and modify a Power BI semantic model open in Power BI Desktop, and the report of a Power BI project.
The only requirement we assume is Power BI Desktop, already installed. Everything else is part of this setup.
Sample model used in all the steps: ContosoDemo10k.zip. Please, download it before you start.
At the end you have an agent in the terminal that reads and writes the semantic model, and that also creates and validates report pages.
This article covers the command-line client, the one you start with claude in the command prompt. The Claude desktop application contains the same agent in its Code tab, with a different interface and a different way to install the plugins.
Claude Code is one of the two clients for which Microsoft publishes a marketplace command for the report authoring skill, so the report part of this setup is short.
Requirements
- Power BI Desktop, installed.
- Node.js 22 or later. The Power BI Modeling MCP server is started with
npx, which is part of Node.js. Claude Code itself needs it only if you install it with npm. A new machine does not have it, so step 1 installs it. - Git for Windows. Without it, the marketplace of the skills cannot be downloaded in step 11, and Claude Code uses PowerShell instead of the Bash tool.
- A Claude account with a Pro, Max, Team, or Enterprise plan, or a Console account with credits. The free plan does not include Claude Code. Check the plans page before you start.
- Write permission on any semantic model you modify. The MCP server follows the same rules as the Power BI external tools.
MCP stands for Model Context Protocol. The Power BI Modeling MCP server runs on your machine and connects to Power BI Desktop like an external tool. Claude Code is the client that hosts the agent, and it starts the server as a local process.
Back up your model before an agent writes to it. With the sample model, extract the archive again if something goes wrong.
Step 1: install Node.js
A new installation of Windows does not have it. npm and npx are part of Node.js, and the Power BI Modeling MCP server is started with npx.
Open the command prompt
Several steps of this article ask you to type a command. Windows has two programs that run the commands, and they are not interchangeable:
- The command prompt. Press
Windows+R, typecmd, and press Enter. The window shows a folder path followed by>. - PowerShell. Press
Windows+R, typepowershell, and press Enter. The line starts withPS.
Every command of this article says which of the two to use. To open a window already positioned in a folder, open that folder in File Explorer, type cmd in the address bar, and press Enter. When an installation asks for administrator rights, find Command Prompt in the Start menu, right-click it, and choose Run as administrator.
Install Node.js
Choose one of the two methods. LTS stands for Long Term Support.
Option 1: the installer. Download it from nodejs.org/en/download and run it.
Option 2: WinGet. In the command prompt:
winget install --id OpenJS.NodeJS.LTS --source winget
Both methods write in the folders of the machine, so they ask for administrator rights. If you do not have them, use one of the options at the end of this step.
Close the command prompt and open it again, so that it reads the updated path. Then verify the installation, in the command prompt:
node --version
The command returns the version you installed. The LTS installer provides 22 or later.
Install Node.js without administrator rights
These are options, not a replacement of the installer. Use one of them when the machine is managed and you do not have administrator rights. Each one writes in your user profile, and each one provides npm and npx.
Option 1: the standalone binary. The download page offers a standalone archive besides the installer. Extract it in a folder of your user profile, for example %LOCALAPPDATA%\nodejs, and add that folder to the Path variable of the user, in Settings > System > About > Advanced system settings > Environment variables. Nothing else is installed.
Option 2: fnm, the Fast Node Manager. It installs and switches the versions of Node.js in your user profile. Install fnm with WinGet, in the command prompt:
winget install Schniz.fnm
Add this line to your PowerShell profile, so that every session finds Node.js. The command notepad $PROFILE, typed in PowerShell, opens that file:
fnm env --use-on-cd --shell powershell | Out-String | Invoke-Expression
Open a new PowerShell window, install the LTS version, and read the version number it installed:
fnm install --lts
fnm list
Then set that version as the default, replacing <version> with the number of the LTS entry of the list:
fnm default <version>
Option 3: Scoop. It is a package manager that installs in %USERPROFILE%\scoop. Install it in PowerShell, in a window that is not elevated:
irm get.scoop.sh | iex
Then install Node.js, in the same PowerShell window:
scoop install nodejs-lts
With any of the three options, close the window, open a command prompt, and verify with node --version and npm --version.
Step 2: install Claude Code
Choose one of the three methods.
Option 1: the installer of Anthropic. In PowerShell:
irm https://claude.ai/install.ps1 | iex
Option 2: WinGet. In the command prompt:
winget install Anthropic.ClaudeCode
Option 3: npm. In the command prompt:
npm install -g @anthropic-ai/claude-code
There is no Microsoft Store version of Claude Code.
Please, use one method only. The installer and the WinGet package write in different folders, and two installations of different versions do not report a conflict.
Claude Code runs natively on Windows. The Windows Subsystem for Linux is an option, not a requirement.
Verify the installation, in the command prompt:
claude --version
Step 3: open the sample model
- Download ContosoDemo10k.zip.
- Extract the archive in a local folder, for example
C:\Demo. Please, do not open the file directly from the compressed folder. - Open ContosoDemo10k.pbix in Power BI Desktop and leave Power BI Desktop open.
The title bar shows ContosoDemo10k. You use that name in step 6.
Step 4: register the Power BI Modeling MCP server
There is no extension to install. The server is an npm package, and Claude Code starts it on demand.
Run this command in the command prompt:
claude mcp add --transport stdio --scope user powerbi-modeling-mcp -- npx -y @microsoft/powerbi-modeling-mcp@latest --start --readonly
The --readonly argument blocks every write operation. We suggest it for the first session, so that a wrong prompt cannot modify anything. Step 8 replaces it.
The double dash separates the arguments of Claude Code from the command that starts the server. The --scope user argument writes the entry in %USERPROFILE%\.claude.json, and makes the server available in every folder. The other two scopes are local, which is the default and applies to the current folder, and project, which writes a .mcp.json file to share with a team.
Verify the registration, in the command prompt:
claude mcp list
Step 5: start the agent and sign in
- Open a command prompt in the folder that contains the sample, for example
C:\Demo. -
Start the client:
claude - Sign in. A browser window opens, you sign in, and the control returns to the terminal. If the browser shows a code, paste it in the client. The command
/loginrepeats the operation later. - Answer the trust prompt for the folder.
The permission modes change with Shift+Tab, and the command /permissions opens the list of the rules. Keep the default mode, so that every write asks for a confirmation.
Step 6: connect to Power BI Desktop
Send this prompt:
Connect to 'ContosoDemo10k' in Power BI Desktop
The answer reports the model name and an active connection. The first call to the MCP server raises a confirmation prompt. Read it: it is the only checkpoint before a change.
Step 7: verify the connection
Send these two prompts to the agent, one after the other:
List the tables and their row counts
Show me the relationships in the model
Both answers arrive in a few seconds. The chain works: Claude Code, MCP server, Power BI Desktop.
Step 8: enable the write operations
The session started in read-only mode, so the next prompt would fail. Remove the restriction:
- Exit the client with
/quit. -
Remove the read-only registration, in the command prompt:
claude mcp remove --scope user powerbi-modeling-mcp -
Register the server again without
--readonly:claude mcp add --transport stdio --scope user powerbi-modeling-mcp -- npx -y @microsoft/powerbi-modeling-mcp@latest --start - Start
claudeagain and connect again, as in step 6.
Then send this prompt:
Create a measure that returns the Sales Amount of the previous year using the same format of the original measure.
The measure appears in Power BI Desktop without a refresh. Each write operation raises a confirmation prompt. The same approach applies to bulk operations, like format strings and display folders on hundreds of objects in a single request.
Step 9: enable the preview features for the report layer
The MCP server operates on the semantic model. The report layer requires a different tool, the Power BI report authoring skill, which works only on PBIP files in PBIR format. PBIP stands for Power BI Project, PBIR for Power BI enhanced report format. The skill cannot modify a .pbix file.
In Power BI Desktop, open File > Options and settings > Options > Preview features and enable these three options:
- Power BI Project (.pbip) save option
- Store reports using enhanced metadata format (PBIR)
- Enable external tool access to Power BI Desktop through secure local APIs
The third option is the Power BI Desktop Bridge, and it is enabled by default. The report authoring skill uses it to reload the project and to capture a screenshot of a page, so that the agent verifies its own work. Verify that the option is checked.
Restart Power BI Desktop.
Step 10: save the sample as a project
Use File > Save as and choose the Power BI Project (*.pbip) file type. Power BI Desktop creates this structure:
ContosoDemo10k.pbip
ContosoDemo10k.SemanticModel/
ContosoDemo10k.Report/
.gitignore
The model is a set of TMDL files (Tabular Model Definition Language) and the report is a set of JSON files. Put the folder under source control and commit a baseline, so to undo a wrong operation with one command.
Step 11: install the report authoring skill
Git is required for this step. The marketplace is downloaded with git, and Windows does not include it. Install it, then close the command prompt and open it again.
Choose one of the two methods.
Option 1: the installer. Download it from git-scm.com/downloads/win and run it.
Option 2: WinGet. In the command prompt:
winget install --id Git.Git --source winget
The skills call two command-line tools. Install them in the command prompt:
npm install -g @microsoft/powerbi-report-authoring-cli@latest @microsoft/powerbi-desktop-bridge-cli@latest
The skill is part of the powerbi-authoring plugin, published in the skills-for-fabric marketplace by Microsoft. The plugin contains five skills: semantic model authoring, report planning, report design, report authoring, and report management.
In the client, add the marketplace and install the plugin:
/plugin marketplace add microsoft/skills-for-fabric
/plugin install powerbi-authoring@fabric-collection
Restart the client:
/quit
Start claude again and list the skills:
/skills
The two commands above are typed inside the client. The same operations are available in the command prompt as claude plugin marketplace add and claude plugin install.
The plugin declares its own copy of the MCP server, with the same name powerbi-modeling-mcp and without --readonly. Run claude mcp list and verify which arguments are active before you rely on read-only mode.
Step 12: connect the agent to the project
Start the client in the command prompt, in the folder that contains the .pbip file, so that the agent sees both the model folder and the report folder. If you started it elsewhere, add the folder inside the client:
/add-dir C:\Demo
Then send this prompt:
Open semantic model from PBIP folder 'C:\Demo\ContosoDemo10k.SemanticModel'
This way the connection between the agent and the semantic model is established by using the TMDL files stored in the semantic model folder.
With a PBIP, Power BI Desktop treats the on-disk TMDL as the model it loads and the model it writes back on save. A measure pushed over the XMLA/live connection (used by the MCP modeling server) lands in the in-memory engine but outside Desktop’s project state, so the Desktop’s report layer never learns about it — it could result in the error “Something’s wrong with one or more fields” even while the measure is defined in the model.
The authoring skill always reads and writes the report folder as files.
Step 13: create a report page
Use the following prompt to instruct the agent to create a new report page:
Create a report page with a line chart showing Sales Amount by Quarter, and a card showing the Sales Amount of the last year that has data.
Then check the report in Power BI Desktop. Save any manual change in Power BI Desktop before the agent iterates. The agent reads the files on disk and does not see the unsaved state. Editing in both places at the same time loses one set of changes.
The examples in the documentation use cards, bar charts, clustered column charts, tables, KPI cards, and slicers, and the skill converts the legacy card and matrix visuals into the modern cardVisual and pivotTable. There is no published list of the supported visuals, so expect some trial and error. Q&A, Bing maps, and filled maps are announced for deprecation, and Microsoft recommends avoiding them.
Configuration options
The command-line arguments of the MCP server go after -- in the claude mcp add command, or in the args array of the JSON entry.
| Option | Default | Description |
|---|---|---|
--start |
required | Starts the server. |
--readwrite |
enabled | Allows write operations, each one with a confirmation. |
--readonly |
Blocks all the write operations. | |
--skipconfirmation |
Removes the confirmation prompts. | |
--compatibility |
PowerBI |
Set it to Full for Analysis Services databases. |
--authmode |
interactive |
Set it to serviceprincipal for unattended scenarios. |
For the service principal authentication, set AZURE_CLIENT_ID and AZURE_TENANT_ID in the environment of the server, with either AZURE_CLIENT_SECRET or AZURE_CLIENT_CERTIFICATE_PATH.
On a model that matters, run the first session with --readonly, as in step 4.
Alternative installation methods
Manual installation. Download the VSIX package of the Visual Studio Code extension of the MCP server, rename it with the .zip extension, extract it, and configure the path of the executable in %USERPROFILE%\.claude.json. This avoids the download that npx performs at every start:
{
"mcpServers": {
"powerbi-modeling-mcp": {
"type": "stdio",
"command": "C:\\MCPServers\\PowerBIModelingMCP\\extension\\server\\powerbi-modeling-mcp.exe",
"args": ["--start"]
}
}
}
If npx does not start on Windows, use the command interpreter as the launcher:
{
"mcpServers": {
"powerbi-modeling-mcp": {
"type": "stdio",
"command": "cmd",
"args": ["/c", "npx", "-y", "@microsoft/powerbi-modeling-mcp@latest", "--start"]
}
}
}
The npx command is a .cmd script on Windows, and a process that starts it without a shell can fail to find it. Write this form directly in the file, because the claude mcp add command does not always preserve the /c argument on Windows.
Claude Code accepts three transports, stdio, sse, and http. The value local, used by other clients, is rejected.
Limitations
- The MCP server operates on the semantic model, not on the report.
- The report authoring skill operates on PBIP projects in PBIR format, not on a
.pbixfile. - Neither of them can do anything your permissions do not allow, because they operate with your identity.
- Model metadata does not stay local: table names, column names, measure definitions, and query results are sent to the language model of the service you signed in to.
- The MCP server, the report authoring skill, and the Power BI Desktop Bridge are all in preview. Behavior and tools can change before general availability.
- The agent proposes and executes. The review is your responsibility.
- The free plan does not include Claude Code, and this is a limit of the plan, not of the MCP server.
Troubleshooting
The claude command is not found.
Close and open the terminal again, so that it reads the updated path. With npm, verify that the global folder of npm is in the path.
The MCP server does not appear in the list of tools.
Run claude mcp list in the terminal, or /mcp in the client. Verify that you used --scope user, otherwise the server exists only in the folder where you registered it.
The server does not start and the message mentions npx or spawn.
Use the cmd form of the alternative installation methods, or the absolute path of the executable.
The plugin does not install and the message mentions an unsupported source type.
Update Claude Code. If the message remains, copy the five folders of plugins\powerbi-authoring\skills into %USERPROFILE%\.claude\skills, as described in step 11.
The skills do not appear after the installation.
Restart the client with /quit, start claude again, and run /skills. If they are still missing, delete the folder %USERPROFILE%\.claude\plugins\cache and install the plugin again.
The npm or the npx command is not found.
Node.js is not installed, or the terminal was opened before the installation. Close the terminal, open it again, and run node --version. See step 1.
The marketplace cannot be added, and the message mentions git.
Git is not installed, or the command prompt was opened before the installation. Install Git for Windows as in step 11, then close the command prompt and open it again.
The server starts and provides no tools.
Verify that Node.js is installed and that npx runs. The first start downloads the package, so it takes longer than the following ones. Run npx -y @microsoft/powerbi-modeling-mcp@latest --help once in the command prompt, so that the package is already in the cache.
Cannot connect to Power BI Desktop.
The file must be open, and the name in the prompt must match the title bar: ContosoDemo10k, not ContosoDemo10k.pbix. After a restart of Power BI Desktop the port changes. Connect again.
The write operations are rejected.
You need write permission on the model, and the server must not run with --readonly. See step 8.
The agent reports that a command is not available when it validates the report.
Install the two command-line tools of step 11, @microsoft/powerbi-report-authoring-cli and @microsoft/powerbi-desktop-bridge-cli, then restart the client.
The report authoring skill does not modify the report. It requires PBIP in PBIR format. Verify both preview features and save the project again, because enabling PBIR does not convert a project already saved.
The report changes do not appear in Power BI Desktop. Reload the project. Power BI Desktop shows the version loaded before. Verify the preview option of the Power BI Desktop Bridge, so that the agent reloads the project without your intervention.
The agent modifies objects you did not mention. Name the objects explicitly. For example, “add display folders to the measures in the Sales table” instead of “apply the best practices”.
Conclusions
Install Node.js, install Claude Code, register the Power BI Modeling MCP server with one command, install the powerbi-authoring plugin, open a model in Power BI Desktop, connect with one prompt.
These are the rules we suggest applying:
- Install the client with one method only, because two installations do not report a conflict.
- Use
--scope userfor the server, so that it is available in every folder. - Register the server by its package name, instead of asking the agent to find it.
- Verify the connection with a read-only prompt before any change.
- Keep a backup of the model, or work on a PBIP project under source control.
- Read the confirmation prompts.
- Use
--readonlyfor the first session on a model that matters. - Do not write the connection port in a script.
- Open the folder of the project in the client, so that the model and the report are both visible to the agent.
- For the report layer, use PBIP with PBIR, and save in Power BI Desktop before the agent iterates.
References
- Set up Claude Code: the installation methods on Windows and the system requirements.
- Authentication: the sign-in process and the plans.
- MCP servers: the
claude mcp addcommand, the scopes, and the JSON schema. - Permissions: the modes, the rules, and the trust of a folder.
- Discover plugins: the
/plugincommands and the marketplaces. - anthropics/claude-code: the repository of the client.
- ContosoDemo10k.zip: the sample model used in this article.
- Download Node.js: the LTS installer and the standalone archive, both providing
npmandnpx. - Schniz/fnm: the Fast Node Manager, one of the options that does not require administrator rights.
- Scoop: the package manager that installs in the user profile.
- What are the Power BI MCP servers?: the comparison between the local and the remote server.
- microsoft/powerbi-modeling-mcp: repository, configuration reference, and the complete list of tools.
- Power BI report authoring skill: what the skill does and its limits.
- Install Skills for Fabric: the marketplace and the installation commands for the plugins.
- microsoft/skills-for-fabric: the repository that publishes the skills.
- What is the Power BI Desktop Bridge?: the preview setting and the operations it provides.
- Power BI Desktop projects (PBIP): how to save a project and the folder structure.
- Power BI Desktop project report folder: the PBIR format and the preview settings.
The content of this article was verified in September 2026, with the @microsoft/powerbi-modeling-mcp package installed from npm with the @latest tag, and with version 0.3.15 of the skills-for-fabric marketplace. Command names, preview settings, and plan boundaries change over time, so the linked documentation is the authority.