
SemanticOps MCP (For Power BI)
Query and operate Power BI semantic models from your agent on Windows or macOS without leaving the repo.
Overview
SemanticOps MCP is a MCP server for the Grow phase that exposes Power BI semantic operations to AI coding agents on Windows and macOS.
What is this MCP server?
- SemanticOps MCP (mcp-engine) npm package v3.7.9 with stdio transport
- Official positioning as Power BI MCP server for Windows and macOS
- Published from maxanatsko/mcp-engine-public with semanticops.dev documentation
- Registry schema 2025-12-11 compliant server metadata
- Developer-facing integration for BI-heavy indie and small-team stacks
- npm package mcp-engine version 3.7.9
- Transport: stdio
- Platforms called out: Windows and macOS
Who is it for?
Indie consultants and small SaaS teams standardizing on Power BI who want agent help with semantic models and analytics tasks.
Skip if: Builders on a pure Postgres-plus-Metabase or BigQuery-only stack with no Power BI license.
What do I get? / Deliverables
You wire stdio mcp-engine into the agent and work on BI semantics alongside code in one session.
- Agent-accessible Power BI semantic operations via MCP
- Local stdio bridge documented at semanticops.dev
- Repeatable npm-based server install (mcp-engine 3.7.9)
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Journey fit
Once a product ships, builders need dashboards and semantic models explained or adjusted; analytics is the primary journey shelf even when the server is used during build-time data work. Power BI is the analytics layer for many solo-funded SaaS and client projects; this MCP bridges agent assistance to datasets, measures, and semantic ops rather than frontend code.
How it compares
Power BI integration MCP, not a generic SQL database connector or chart-design skill.
Common Questions / FAQ
Who is SemanticOps MCP for?
Developers and analysts on Windows or macOS who already use Power BI and want MCP-driven assistance from Claude Code or similar clients.
When should I use SemanticOps MCP?
Use it in grow and operate when dashboards drive decisions, or during build when you integrate reporting into the product’s data story.
How do I add SemanticOps MCP to my agent?
Install the npm package mcp-engine (v3.7.9), configure stdio transport in your MCP settings, and point your client at the local server per semanticops.dev and the GitHub mcp-engine-public repo.