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power-bi-mcp
An MCP (Model Context Protocol) server that lets AI agents manage Power BI workspaces, datasets, and refreshes via natural language.
| Tool | Description |
|---|---|
pbi_auth | Authenticate via Azure AD device code flow (with token caching & auto-refresh) |
pbi_list_workspaces | List accessible workspaces (with optional name filter) |
pbi_list_datasets | List datasets in a workspace |
| Tool | Description |
|---|---|
pbi_dataset_info | Aggregate dataset metadata + datasources + gateways + refresh schedule + impacted reports + PBIP locate (single call) |
pbi_refresh_dataset | Trigger an Enhanced refresh (supports table-level, polling, retry, timeout) |
pbi_refresh_manage | Refresh lifecycle: view history (status), get execution details (details), or cancel (cancel) |
| Tool | Description |
|---|---|
pbi_diagnose | One-shot diagnostic report for refresh failures — root cause classification, error catalog, next actions, PBIP source hints |
pbi_locate_pbip | Locate PBIP source code for a dataset (fuzzy folder match + optional table TMDL & M source extraction) |
| Tool | Description |
|---|---|
pbi_execute_query | Execute DAX queries against a dataset (supports RLS impersonation) |
pbi_scheduled_refresh_report | Generate a daily scheduled-refresh status report across all datasets in a workspace (JSON or Markdown table) |
server.py # Entry point — configures logging, runs MCP via stdio
app.py # FastMCP instance with server instructions
config.py # Configuration loader (config.json, defaults, constants)
auth.py # Azure AD device code flow, token caching, HTTP helpers
diagnostics.py # Refresh error classification, PBIP folder/table locator
error_catalog.py # Error code catalog + regex patterns for failure classification
tools/ # MCP tool modules (auto-registered via __init__.py)
├── auth_tool.py # pbi_auth
├── workspace.py # pbi_list_workspaces, pbi_list_datasets
├── dataset.py # pbi_dataset_info
├── refresh.py # pbi_refresh_dataset, pbi_refresh_manage
├── diagnose.py # pbi_diagnose, pbi_locate_pbip
├── query.py # pbi_execute_query
└── report.py # pbi_scheduled_refresh_report
setup.ps1 # Azure AD App Registration automation (PowerShell)
config.json # User-specific config (gitignored)
git clone https://github.com/FreelexHo/power-bi-mcp.git && cd power-bi-mcp
uv venv && uv sync
python -m venv .venv
# Windows
.venv\Scripts\activate
# macOS/Linux
source .venv/bin/activate
pip install -e .
Add to your MCP client configuration:
Cursor / Windsurf / Antigravity IDE (mcp.json):
{
"mcpServers": {
"power-bi": {
"command": "uv",
"args": ["run", "--directory", "/path/to/power-bi-mcp", "server.py"],
"transport": "stdio"
}
}
}
Just use the MCP! On first use, the agent will call pbi_auth and show you a message like:
To sign in, visit https://microsoft.com/devicelogin
and enter the code XXXXXXXX
That's it. Tokens are cached to ~/.powerbi-mcp/token.json and auto-refreshed — you won't need to do this again unless you revoke access.
The server works out of the box with a built-in public client_id. Create a config.json in the project root to customize:
{
"client_id": "<your-azure-ad-client-id>",
"token_cache_dir": "~/.powerbi-mcp",
"pbip_root": "C:/path/to/your/pbip-repo/data/power-bi-report"
}
| Key | Default | Description |
|---|---|---|
client_id | Built-in public app | Azure AD App Registration client ID |
token_cache_dir | ~/.powerbi-mcp | Directory for cached OAuth tokens |
pbip_root | (none) | Local PBIP repo root — enables pbi_locate_pbip and pbi_diagnose source-level hints |
A setup.ps1 script is included to automate App Registration creation via Azure CLI. See Advanced Setup below.
AADSTS7000218: The request body must contain ... client_assertionYour organization may block public client flows. Ask your Azure AD admin to either:
setup.ps1)AADSTS65001: The user or administrator has not consentedFirst-time users in a new Azure AD tenant need to consent to Power BI permissions. If your tenant requires admin consent:
setup.ps1 to create your own App Registration where you are the ownerAADSTS50076: MFA required or AADSTS50079Multi-factor authentication is required by your organization. The device code flow supports MFA — complete the MFA challenge in your browser when prompted.
Not authenticated. Call pbi_auth first.Token has expired and could not be refreshed. The agent should automatically re-trigger pbi_auth. If it doesn't, ask the agent to call pbi_auth again.
By default, tokens are cached at ~/.powerbi-mcp/token.json. Make sure:
A 403 on pbi_refresh_manage action=details typically indicates insufficient permissions or the refresh record has expired.
For organizations that require their own App Registration:
./setup.ps1
This creates an Azure AD App Registration with the correct configuration:
| Setting | Value |
|---|---|
| Sign-in audience | Multi-tenant (any Azure AD directory) |
| Public client flows | Enabled |
| Redirect URI | https://login.microsoftonline.com/common/oauth2/nativeclient |
| API Permissions | Power BI Service: Dataset.ReadWrite.All, Workspace.Read.All (Delegated) |
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