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ducnguyen221

powerbi-agent

by ducnguyen221

powerbi-agent

🌐 Language: English · Tiếng Việt

⚠️ Windows only. Power BI Desktop ships for Windows only, so the tools that talk to Desktop require Windows 10/11. There is no macOS/Linux build.

An MCP server + skill pack that turns any AI Agent into a data analyst working DIRECTLY on Power BI. Not just a bridge: it also ships the analysis process, the documentation templates and the report design kits that a senior consultant would bring to the job.

Supports Power BI Desktop (local) · Power BI Service (cloud) · PBIP/PBIR project files. Hosts: Claude Code · Codex CLI · Google Antigravity and any stdio MCP client.

🌐 ducnguyen.vn/powerbi-agent · 📘 Full install guide · 🗺️ INDEX.md — the complete repo map · 🤖 AGENTS.md · Roadmap · UAT results

🏛️ Built by KPIM — shared free with the community

The analysis process and report templates were built by KPIM — a consultancy delivering Data & Business Intelligence solutions and in-depth Data & AI training. The workflows and templates here are distilled by many KPIM experts from real engagements and shared FREE with the community, students and data practitioners.


Related MCP server: power-bi-mcp

What you get — four pillars

Pillar

What it means in practice

1

MCP Server

16 tools so the agent queries DAX, edits the model and writes report pages itself — every query passing a server-side data-safety policy, not a prompt hint.

2

Digitized expertise

4 skills · 8 commands · 1 curator agent · a Knowledge OS. The agent follows a real consultant's process instead of improvising.

3

Report design kits

Clone a proven page and rebind the fields — style preserved 100%. Layouts an AI draws from scratch always look off; this fixes that.

4

Document templates

7 markdown deliverables + a 6-sheet Excel + a Power BI theme + 6 mindmaps, ready to fill in for a new project.

→ Where everything lives, folder by folder: INDEX.md.

Install

Paste this into your agent (Claude Code / Codex / Antigravity):

Clone https://github.com/ducnguyen221/powerbi-agent into ~/.mcp/powerbi-mcp, then run install.ps1 there (read the script first), and restart the MCP host.

Or run it yourself:

git clone https://github.com/ducnguyen221/powerbi-agent "$env:USERPROFILE\.mcp\powerbi-mcp"
cd "$env:USERPROFILE\.mcp\powerbi-mcp"
powershell -ExecutionPolicy Bypass -File .\install.ps1

The installer builds a .venv, probes for ADOMD.NET/TOM, registers the MCP server on all three hosts, then installs the 4 skills + 8 commands on each host (the curator agent only lands in Claude Code's agents/ folder — other hosts get the same capability through the powerbi-knowledge skill). It is idempotent — safe to re-run. To refresh only the workflows: .\install.ps1 -Only plugin.

Requirements: Windows · Python 3.11+ · ADOMD.NET (bundled with SSMS, or the Analysis Services client libraries).

Or install as a plugin

The same .claude-plugin/marketplace.json works for both Claude Code and Codex — it ships the skills, commands and agent, but not the 16 MCP tools (run install.ps1 for those).

claude plugin marketplace add ducnguyen221/powerbi-agent && claude plugin install powerbi-agent@powerbi-agent
codex  plugin marketplace add https://github.com/ducnguyen221/powerbi-agent && codex plugin add powerbi-agent@powerbi-agent

Per-host details: hosts/.

Your first 10 minutes

1.  restart your AI host          →  it picks up the MCP server
2.  /powerbi-help                 →  the agent lists what it can do and routes your request
3.  /powerbi-setup                →  designate a project dir (a folder OUTSIDE the repo). Once.
4.  /powerbi-new "Revenue report" →  it reads past lessons, surveys the data, documents, then builds

Already have a .pbip you like? /powerbi-scan <path> explains its design; /powerbi-kit <path> turns it into reusable kits.

Main features

8 commands

Command

What it does

/powerbi-help

List every capability + route your request to the right process

/powerbi-setup

Declare the project dir — where all knowledge lives, outside the repo (once)

/powerbi-new <name>

Open a project: its own folder + prior lessons + the analysis process

/powerbi-scan <path.pbip>

Scan a report's design: every page + theme + DESIGN.md + catalog

/powerbi-kit <path.pbip>

Distill a report into a set of reusable report-page kits

/powerbi-done

Close a project: handoff checklist + distill + timeline + knowledge packaging

/powerbi-pack [project]

Package lessons on 4 axes: tech-stack · industry · business-domain · powerbi

/powerbi-recall <keyword>

"Have we done something like this before?"

16 tools, in 6 groups

Group

Tools

Discover

list_local_reports · list_tables · describe_table

Query 🛡️

execute_dax_local · execute_dax_service — always through the policy

Write model

add_measure_local · add_relationship_local

Templates 🎨

list_templates · apply_template · distill_template

Distill

distill_model_schema · distill_report_design

Knowledge OS 🧠

knowledge_status · setup_knowledge · init_project · log_timeline

Full table with descriptions: INDEX.md.

4 skills

kpim-analysis (business phase: survey → document → plan) · powerbi-pipeline (9 technical steps) · powerbi-mcp (tool reference) · powerbi-knowledge (Knowledge OS).

🛡️ Data safety

Raw data stays inside the Power BI engine — only aggregated results reach the LLM.

  • aggregate-only, ON by defaultEVALUATE '<table>' and EVALUATE ALL(...) are refused with a rewrite hint toward SUMMARIZECOLUMNS/TOPN. Disable with POWERBI_AGGREGATE_ONLY=0.

  • PII blocklist + audit log — copy policy.example.jsonpolicy.json and list the columns to block; every query is recorded to <project dir>/audit/*.jsonl with its verdict and row count.

  • Honest about limits — this guards against accidental leaks. Real security is still RLS on the model plus a least-privilege service principal.

Your project knowledge lives in a project dir you designate, outside the repo. Nobody receives anyone else's knowledge through git. The only path out is you asking, sanitize=True, and a review.

Runs alongside microsoft/powerbi-modeling-mcp

powerbi-agent doesn't rebuild modeling — it delegates:

claude mcp add powerbi-modeling -s user -- npx -y "@microsoft/powerbi-modeling-mcp@latest" --start

Task

Server

DAX + policy, schema discovery, report/PBIR layer, distill

powerbi-agent

Bulk table/column/measure/relationship edits, transactions, TMDL, DAX validate

powerbi-modeling (Microsoft)

Where to go next

🗺️ INDEX.md

Complete repo map: four pillars, every folder, glossary, end-to-end flow

🤖 AGENTS.md

Working rules for agents + the multi-agent protocol (§4)

🧩 plugins/README.md

The digitized expertise: skills, commands, agent

🎨 report-templates/

How report kits work

🗓️ ROADMAP.md

Positioning, architecture, milestones

Uninstall: .\uninstall.ps1 (keeps files) · .\uninstall.ps1 -RemoveVenv.

Already have a skill with the same name? The installer never deletes a skill it did not create. If it finds one whose name: matches ours but which lacks our ownership marker, it moves that copy next to the skills folder (powerbi-agent-backup-<timestamp>\) and installs ours. To keep yours instead, put an empty file named .powerbi-agent-keep inside its folder — install and uninstall both leave such a folder completely alone, on every run.

Authors & credit

The KPIM analysis process, tooling, templates and techniques here were built by KPIM (many experts collaborating), technical lead & development by Duc Nguyen (Nguyễn Quang Đức — ducnguyen221) — so an AI Agent can do data analysis like an expert. Shared free with the community and students.

If you reuse the process / templates / tools, please keep the credit to KPIM & Duc Nguyen.

License

MIT — © 2026 KPIM (kpim.vn) & Duc Nguyen. See LICENSE.

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