Kemetra/seshat-bi
by Various
Agent-first BI readiness system -- profiles sources, governs medallion mappings, and gates Power BI delivery so AI agents cannot self-approve data decisions.
MCP
Kemetra/seshat-bi
Added 8 Sept 2026
Overview
Profiles data sources, governs medallion mappings, and gates Power BI delivery. Designed for agent-first workflows, it prevents AI agents from self-approving data decisions. Written in Python.
Best for
Best for
Teams building AI agents that need governed BI delivery
Use cases
- Profile source data before ingestion
- Enforce medallion architecture rules
- Gate Power BI dataset publication
Notes
Profiles data sources, governs medallion mappings, and gates Power BI delivery. Designed for agent-first workflows, it prevents AI agents from self-approving data decisions. Written in Python.
2 stars on GitHub. Last updated 2026-09-02. Licensed Apache-2.0.
Use cases
- Profile source data before ingestion
- Enforce medallion architecture rules
- Gate Power BI dataset publication
Pros
- Agent-first governance prevents self-approval
- Automates source profiling
- Lightweight Python implementation
Cons
- Low community adoption (2 stars)
- Limited documentation and support
- Focused only on Power BI delivery
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Agent-first governance prevents self-approval
- Automates source profiling
- Lightweight Python implementation
Cons
- Low community adoption (2 stars)
- Limited documentation and support
- Focused only on Power BI delivery
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