Content
# Power BI Desktop MCP Server




> ⚠️ **Alpha version** – APIs and behaviours may change without notice.
Power BI Desktop MCP Server lets Claude (or any MCP client) talk to a running Power BI Desktop instance using natural language. It bridges the Model Context Protocol to the Tabular Object Model so you can inspect, optimize, and author DAX without leaving chat.
## Installation
Step-by-step setup (Power BI prerequisites, .NET libraries, environment variables) lives in [INSTALLATION.md](INSTALLATION.md).
For local development:
```bash
pip install -e .
# or install from the current directory:
pip install .
```
## Quick Example
List the tables in your current Power BI model:
```bash
python examples/list_model_info.py --include-columns
```
Export measures to the knowledge base:
```bash
python examples/export_measures_to_knowledge_base.py --project "Executive Dashboard"
```
Run the optimizer on an expression:
```bash
python examples/optimize_dax.py --expr "CALCULATE(SUM(Sales[Amount]), FILTER(ALL(Date), Date[Year] = 2024))"
```
## Configuration
- Copy `.env.example` to `.env` and set `TOM_DLL_PATH` if the Microsoft Analysis Services DLLs are not auto-detected. Optional variables include `LOG_LEVEL`, `MCP_KNOWLEDGE_BASE`, and `POWERBI_WORKSPACE_NAME`.
- Add the CLI entry point to Claude Desktop (or any MCP host):
```json
{
"mcpServers": {
"powerbi": {
"command": "powerbi-mcp-server",
"args": []
}
}
}
```
- The CLI is a thin wrapper around `python -m powerbi_mcp.server`, so either invocation works for deployments and debugging.
## Features
- DAX code generation and measure creation
- Measure and table metadata inspection
- DAX optimizer with rule-based suggestions
- TMDL import/export helpers
- Knowledge base bridge for storing curated measures
- Example scripts for quick automation (`examples/` directory)
## Known Issues
- Power BI visuals live outside the XMLA endpoint, so visual creation/editing is not supported.
- The server connects to the most recently opened Power BI Desktop workspace; multiple instances are not yet multiplexed.
- Write operations require the Power BI model to allow external tools and, in some scenarios, elevated permissions.
- `pythonnet` relies on local Microsoft Analysis Services DLLs; misconfigured `TOM_DLL_PATH` is the most common setup failure.
## Contributing
Pull requests are welcome. Please:
1. Open an issue describing the change if it alters behaviour or APIs.
2. Keep additions formatted with `ruff`/`black` style conventions (if configured) and include type hints.
3. Add or update example scripts/tests where it helps illustrate new functionality.
4. Run the example scripts or manual smoke tests before submitting.
Issues and feature requests are tracked at the repository’s GitHub Issues page.
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