pbi-context is a lightweight AI context engine for Power BI models. It indexes metadata, DAX expressions, and documentation to create queryable context for LLM agents. Delivered as an MCP server, CLI, and documentation with zero external dependencies, it enables AI agents to understand and interact with Power BI semantic models effectively.
In the AI & ML space, pbi-context takes a focused approach. It focuses on providing rich, indexed context from Power BI models to LLM agents without complex setup or dependencies. pbi-context is an open-source project aimed at Power BI developers and data analysts. pbi-context is open source under the MIT license. It ships for the command line.
Behind pbi-context is Osc2405, and it first shipped in 2026. Development happens publicly on GitHub with 15 stars and 22 commits in the last 90 days. Key capabilities include Power BI Metadata Indexing, DAX Context Extraction, and Queryable LLM Context. It exposes integrations via an MCP server.
Summary written by a language model from the project’s public pages.
What PulseGate has recorded for this listing
Closest matches by what these projects do