What is powerbi-mcp AGENTS.md?

A repository guide for AI agents working with Power BI semantic models and reports. Power BI is Microsoft's platform for building data models, dashboards, and reports; the guide covers local files, Desktop, and cloud services.

Use it to inspect, query, validate, optimise, govern, rename, and safely refactor Power BI models and reports.

It helps agents make report-aware changes, so edits to a data model do not leave connected report visuals broken.

How sulaiman013/powerbi-mcp configures Codex and OpenCode

Reuse

Borrowing it

Nothing to install: this file belongs to sulaiman013/powerbi-mcp. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/sulaiman013/powerbi-mcp/master/AGENTS.md

Clone the repo

git clone --depth 1 https://github.com/sulaiman013/powerbi-mcp

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/instructions/sulaiman013/powerbi-mcp/agents-md/github.svg)](https://agentmods.dev/instructions/sulaiman013/powerbi-mcp/agents-md)

Your own site

<a href="https://agentmods.dev/instructions/sulaiman013/powerbi-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sulaiman013/powerbi-mcp/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/instructions/sulaiman013/powerbi-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sulaiman013/powerbi-mcp/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 1,444 This file is loaded in full into every session.

When invoked 1,444 The same file — it is already loaded in full.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.01444	$0.01444
Opus 5.5	$0.00578	$0.00578
Sonnet 5.5	$0.00289	$0.00289
Haiku 4.5	$0.00144	$0.00144

Measured 2mo ago against content hash a1d649b8be4b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

powerbi-mcp AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

AGENTS.md · 101 lines

How it starts

The opening of the file, as written. The whole thing — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Power BI MCP Server - Agent Guide

This file orients AI agents (Claude, Copilot, etc.) working through this MCP server. Read it before driving Power BI tasks.

What this server does

A Model Context Protocol server that lets an agent inspect, query, validate, optimize, govern, and safely refactor Power BI semantic models and reports. It connects to:

Power BI Desktop (local Analysis Services) - read + write, RLS testing
Power BI Service (XMLA + REST) - cloud datasets
PBIP / TMDL / PBIR files (offline) - safe, report-aware refactoring AND authoring (measures, date tables, calculation groups, hierarchies, report pages/visuals)
The running Desktop app (Desktop Bridge, preview) - open-file state, hot-reload from disk, page screenshots

It also runs fully cross-platform for the offline + analysis subset (PBIP editing, Best Practice Analyzer, AI-readiness, security) even without ADOMD/.NET.

Golden rules

Renaming: always use the PBIP tools, never the TOM batch_rename_* tools. TOM renames only touch the model and break report visuals. pbip_rename_tables / pbip_rename_columns / pbip_rename_measures update the model AND the report layer (visual.json, cultures, diagram, hierarchy levels, sortByColumn). After any offline PBIP edit, hot-reload the open Desktop with bridge_reload (check bridge_status first; never reload over unsaved changes) instead of asking the user to close and reopen.
Validate DAX before you commit it. Call validate_dax on any new/edited measure expression. create_measure and batch_update_measures validate automatically (pass skip_validation: true only if you must).
Batch model edits inside a transaction. tom_begin_transaction -> edits -> tom_commit_transaction (or tom_rollback_transaction). Edits are atomic and reversible.
Check impact before destructive changes. scan_measure_dependencies (model dependents) and pbip_scan_broken_refs (report references) before delete/rename.
Respect the safety hints. Every tool is annotated (readOnlyHint, destructiveHint). Confirm destructive operations with the user.

Read the full file on GitHub · 101 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

2mo ago First seen · 101 lines · 1,444 tokens per session scan A a1d649b8be4b

Subscribe to this mod's changes

powerbi-mcp AGENTS.md is an instructions file published in the GitHub repository sulaiman013/powerbi-mcp (126 stars, last pushed 3mo ago), licensed MIT. It adds 1,444 tokens to every session, about $0.0058 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Analytics and metrics claude-desktop data-analytics dax mcp model-context-protocol power-bi

powerbi-mcp AGENTS.md next to 6 instructions from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
powerbi-mcp AGENTS.mdsulaiman013/powerbi-mcp	Instructions file	126	3mo ago	MIT	A	1,444	Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	9,719	GitHub Copilot
next.js AGENTS.mdvercel/next.js	Instructions file	143k	today	MIT	A	7,461	Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchain	Instructions file	149k	yesterday	MIT	A	4,680	Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	5,516	GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscode	Instructions file	195k	yesterday	MIT	A	3,093	GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness	Instructions file	274k	2d ago	MIT	A	4,313	Codex, OpenCode

powerbi-mcp: Instructions file for Codex