mcp-engine-public MCP — Casos de uso, Instalar & Demo ao vivo

Por que usar

Principais recursos

Reads Power BI tabular model structure (tables, columns, measures, relationships)
Runs DAX queries against the open model
Creates and modifies DAX measures
Manages relationships between tables
Local-only execution — no data leaves the machine

Demo ao vivo

Como fica na prática

engine-public.replay ▶ pronto

0/0

Instalar

Escolha seu cliente

~/Library/Application Support/Claude/claude_desktop_config.json · Windows: %APPDATA%\Claude\claude_desktop_config.json

{
  "mcpServers": {
    "engine-public": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/maxanatsko/mcp-engine-public"
      ],
      "_inferred": true
    }
  }
}

Abra Claude Desktop → Settings → Developer → Edit Config. Reinicie após salvar.

~/.cursor/mcp.json · .cursor/mcp.json

{
  "mcpServers": {
    "engine-public": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/maxanatsko/mcp-engine-public"
      ],
      "_inferred": true
    }
  }
}

Cursor usa o mesmo esquema mcpServers que o Claude Desktop. Config de projeto vence a global.

VS Code → Cline → MCP Servers → Edit

{
  "mcpServers": {
    "engine-public": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/maxanatsko/mcp-engine-public"
      ],
      "_inferred": true
    }
  }
}

Clique no ícone MCP Servers na barra lateral do Cline, depois "Edit Configuration".

~/.codeium/windsurf/mcp_config.json

{
  "mcpServers": {
    "engine-public": {
      "command": "TODO",
      "args": [
        "See README: https://github.com/maxanatsko/mcp-engine-public"
      ],
      "_inferred": true
    }
  }
}

Mesmo formato do Claude Desktop. Reinicie o Windsurf para aplicar.

~/.continue/config.json

{
  "mcpServers": [
    {
      "name": "engine-public",
      "command": "TODO",
      "args": [
        "See README: https://github.com/maxanatsko/mcp-engine-public"
      ]
    }
  ]
}

O Continue usa um array de objetos de servidor em vez de um map.

~/.config/zed/settings.json

{
  "context_servers": {
    "engine-public": {
      "command": {
        "path": "TODO",
        "args": [
          "See README: https://github.com/maxanatsko/mcp-engine-public"
        ]
      }
    }
  }
}

Adicione em context_servers. Zed recarrega automaticamente ao salvar.

claude mcp add engine-public -- TODO 'See README: https://github.com/maxanatsko/mcp-engine-public'

Uma linha só. Verifique com claude mcp list. Remova com claude mcp remove.

Casos de uso

Usos do mundo real: mcp-engine-public

Write DAX without memorizing syntax

👤 Power BI analysts new to DAX ⏱ ~15 min intermediate

Quando usar: You know what you want in English; you don't want to debug CALCULATE for an hour.

Pré-requisitos

Power BI Desktop with a model open — Launch Power BI Desktop and open your .pbix
MCP Engine installed and connected — See mcpengine.dev — installer under 5 min

Fluxo

Orient the model

List the tables in the open model and key measures.✓ Copiado

→ Model map
Write the measure

Create a DAX measure 'YoY Revenue' that returns current revenue minus same period prior year, using Date[Date] for time intelligence.✓ Copiado

→ DAX + creation confirmation
Validate

Run the measure over 2024 vs 2025 and spot-check 3 rows.✓ Copiado

→ Numbers that look right

Resultado: A working measure with validation, not a guess.

Armadilhas

Time intelligence requires a properly marked date table — Verify Date table is marked as a date table first
Model calculations differ between DirectQuery and Import — Be aware of your storage mode; DirectQuery imposes DAX restrictions

Auto-document an existing Power BI model

👤 Analysts inheriting a .pbix ⏱ ~25 min beginner

Quando usar: The original author is gone and the model has 40 tables of mystery.

Fluxo

Dump structure

Dump the model: every table's role, every measure's DAX, every relationship.✓ Copiado

→ Full structural listing
Write prose docs

Write a one-page explanation of this model for a new analyst: what it reports on, main tables, key measures.✓ Copiado

→ Human-readable model doc

Resultado: Useful documentation without reading every measure yourself.

Combine com: filesystem

Refactor measures to follow naming + modeling conventions

👤 Teams standardizing Power BI practices ⏱ ~30 min intermediate

Quando usar: Measures are named inconsistently (e.g. 'Total Sales' vs 'SumSales').

Fluxo

Find violations

List measures that don't follow the naming convention '<Verb> <Subject> [<Modifier>]'.✓ Copiado

→ Violation list
Rename safely

Propose renames; list any visuals or calculated tables that reference each old name.✓ Copiado

→ Rename plan with dependencies

Resultado: A consistent measure catalog with broken references caught before you hit Apply.

Combinações

Combine com outros MCPs para 10× de alavancagem

engine-public + filesystem

Export model documentation as a Markdown file alongside the .pbix

Document the model and save as ~/Docs/PBI/sales-model.md next to sales.pbix.✓ Copiado

engine-public + postgres

Cross-check PBI measures against raw Postgres queries

PBI says Q1 revenue is $4.2M. Run the same query on the source Postgres DB and tell me if there's a discrepancy.✓ Copiado

Ferramentas

O que este MCP expõe

Ferramenta	Entradas	Quando chamar	Custo
get_model_structure	(none)	Session start	free (local)
run_dax	query: str	Ad-hoc DAX query	free (local)
create_measure	table, name, expression	Add new measure	free (write)
update_measure	table, name, expression	Modify existing	free (write)
manage_relationship	from_table, from_col, to_table, to_col, action: create\|delete\|update	Schema changes	free (write)

Custo e limites

O que custa rodar

Cota de API: None — local only
Tokens por chamada: Model dumps can be large; focus queries
Monetário: Proprietary license with permitted personal + commercial use (see mcpengine.dev/license)
Dica: Ask for specific tables rather than a full model dump on complex reports.

Segurança

Permissões, segredos, alcance

Armazenamento de credenciais: None required — uses PBI Desktop's session

Saída de dados: Zero telemetry claimed; all local to PBI Desktop

Proprietary license — review terms at mcpengine.dev/license before enterprise use.
Changes write directly to the open model — save your .pbix before risky refactors.

Solução de problemas

Erros comuns e correções

No Power BI instance found

Ensure Power BI Desktop is running with a report open; the MCP connects to the local port it exposes.

Verificar: Check Task Manager for msmdsrv process

DAX error: Column not found

Table/column reference is case-sensitive and must match exactly. Use the model structure dump to get names right.

Verificar: get_model_structure

Changes don't persist after closing PBI

PBI Desktop doesn't auto-save — Ctrl+S after each batch of changes.

Verificar: Title bar shows no asterisk

Alternativas

mcp-engine-public vs. outros

Alternativa	Quando usar	Troca
Tabular Editor 3 (scripting)	You want a full scripting environment for PBI/SSAS models	Paid; no MCP surface
DAX Studio	You only need a DAX query tool	No write operations; no AI layer

Mais

Recursos

📖 Leia o README oficial no GitHub

🐙 Ver issues abertas

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