Bidirectional data lineage graph for Power BI (.pbix) files, from source to display
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io.github.fabienfrfr/pbix-atlas is an MCP server that bidirectional data lineage graph for Power BI (.pbix) files, from source to display. Its tool list has not been published yet over sse and http, requires no API key, and scores 82/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients - only the file and path differ.
{
"mcpServers": {
"io-github-fabienfrfr-pbix-atlas": {
"args": [
"pbix-atlas"
],
"command": "uvx"
}
}
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Bidirectional data lineage graph for Power BI (.pbix) files, from source to display
Run this in your terminal to verify the server starts. Then let us know if it worked - your result helps other developers.
uvx 'pbix-atlas' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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🌐 PBIX‑Atlas
Full lineage graph for Power BI — from source to visual field
PbixAtlas is an Universal lineage graph for Power BI .pbix files: source to visual field in one traversable graph.
source (HTTP, OData, SQL, file...) --> Power Query (M)
--> column / calculated column --> measure (DAX)
--> field displayed in a report visual
pip install pbix-atlas
# or
uv add pbix-atlas
from pbix_atlas import LineageGraphBuilder, upstream, downstream, print_tree, find_nodes
graph = LineageGraphBuilder().build("my_report.pbix")
find_nodes(graph, "customer_name")
print_tree(graph, "visual_field::my_report.pbix::Page1::16::customer_name", direction="upstream")
print_tree(graph, "source::odata::example.com/odata/", direction="downstream")
from pbix_atlas import export_graphml, export_nodes_csv, export_edges_csv, graph_summary
graph_summary(graph) # {'query': 70, 'column': 183, ...}
export_graphml(graph, "lineage.graphml") # Gephi / yEd
export_nodes_csv(graph, "nodes.csv")
export_edges_csv(graph, "edges.csv")
Generates a single Python file reproducing a report's full chain: source → extraction → Power Query → semantic model → Vizro dashboard. The M source is executed at runtime by the built-in interpreter, not pattern-matched. Unimplemented functions raise MRuntimeError (no silent stubs).
pip install "pbix-atlas[codegen]"
pbix-atlas-codegen my_report.pbix -o pipeline.py
from pbix_atlas import generate_python_pipeline
generate_python_pipeline("my_report.pbix", "pipeline.py")
uv sync --extra api
uv run pbix-atlas # http://127.0.0.1:8080
POST /graphs, /search, /upstream, /downstream, /tree, /export, /codegenhttp://127.0.0.1:8080/mcp/PBIX_LINEAGE_HOST, PBIX_LINEAGE_PORT| Module | Responsibility |
|---|---|
models.py | Node/edge types and shared data structures |
sources.py | Physical source detection (configurable patterns) |
pbix_model.py | Adapter isolating from pbixray |
m_lexer.py / m_parser.py | Built-in M tokenizer and parser |
m_interpreter.py | M runtime interpreter + stdlib |
dax_translate.py | DAX → Python (supported subset) |
dax.py | DAX reference parsing |
mquery.py | Power Query dependencies (table-level) |
layout.py | Internal Report/Layout format parsing |
graph_builder.py | Orchestrator: builds the networkx.DiGraph |
navigation.py | Upstream/downstream traversal, search, export |
codegen.py | Python pipeline code generation |
api/app.py | FastAPI + MCP mount (FastMCP) |
uv sync --e
... [View full README on GitHub](https://github.com/fabienfrfr/pbix-atlas#readme)