# io.github.LordMendes/lgpd-mcp (npm · @lordmendes/lgpd-mcp)

MCP Server para conformidade LGPD. Ferramentas de bases legais, consentimento, PIA e políticas.

- Trust score: 69/100 (medium)
- Change this week: +17
- Registry status: active
- Liveness: live
- Owner verified: no
- Last scored: 2026-08-04

## Components

- npm · `@lordmendes/lgpd-mcp`: 69/100 (this document), [markdown](https://verifymcp.io/servers/lordmendes-lgpd-mcp/lordmendes-lgpd-mcp.md), [page](https://verifymcp.io/servers/lordmendes-lgpd-mcp/lordmendes-lgpd-mcp)

## Channel facts

- Registry: `npm`
- Package: `@lordmendes/lgpd-mcp`
- Version: `0.1.0`
- Transport: `stdio`

## Trust breakdown

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. Scores are 0–100 per category. Scoring method: https://verifymcp.io/docs/scoring (what has changed: https://verifymcp.io/docs/scoring/changelog)

Scored 2026-08-04.

- **Supply Chain Security**: 86/100
  - No malware found by supply-chain analysis.
  - Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.
  - No install/post-install scripts declared.
  - Only part of the dependency tree could be resolved (94 of 98), so this covers what we could see, not the whole tree.
- **Provenance & Transparency**: 45/100
  - Source repository is publicly reachable at the declared URL.
  - Provenance check failed: no build-provenance attestation is published.
  - Clear OSI-approved license (MIT).
  - Actively maintained (last published 172 days ago).
  - Disclosure check failed: no security disclosure policy was found in the source repository.
- **Schema Quality & AI Usability**: 76/100
  - 100% of prompts and resources have a non-trivial description (not blank, and not just the item's name).
  - AI-judged instruction clarity (good).
  - Tool/resource definitions use about 874 tokens (~62/item across 14 items; 9 tools + 5 resources), lean.
  - Usage-examples check failed: none of the tools include examples.
- **Stability & Change Management**: 30/100
  - Stability observed for 9 of 30 days with no destabilising changes; credit accrues until the full window elapses.
- **Tool Coverage**: 96/100
  - 100% of tools have a non-trivial description (not blank, and not just the tool's name).
  - 88% of tool parameters carry a description.
- **Capabilities**: 100/100
  - Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.

## Install

### Claude

```bash
claude mcp add lordmendes-lgpd-mcp -- npx -y @lordmendes/lgpd-mcp
```

### Codex

```bash
codex mcp add lordmendes-lgpd-mcp -- npx -y @lordmendes/lgpd-mcp
```

### opencode

```json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "lordmendes-lgpd-mcp": {
      "type": "local",
      "command": [
        "npx",
        "-y",
        "@lordmendes/lgpd-mcp"
      ],
      "enabled": true
    }
  }
}
```

### OpenClaw

```bash
openclaw mcp add lordmendes-lgpd-mcp --command npx --arg -y --arg @lordmendes/lgpd-mcp
```

### Hermes

```yaml
mcp_servers:
  lordmendes-lgpd-mcp:
    command: "npx"
    args: ["-y", "@lordmendes/lgpd-mcp"]
```

### Other

```json
{
  "mcpServers": {
    "lordmendes-lgpd-mcp": {
      "command": "npx",
      "args": [
        "-y",
        "@lordmendes/lgpd-mcp"
      ]
    }
  }
}
```

## Changelog

Every change recorded for this component, newest first. Days that predate change tracking, or that we cannot explain, say so: "we were watching and nothing happened" and "we were not watching" are different claims.

### 2026-08-03 (score 69, +1)

No change was recorded against any check on this day. Stability & Change Management went from 23 to 27. That category is still filling its 30-day observation window: 7 days of observed history at the previous scan, 8 at this one. The score rises as the window fills, whether or not the server changes.

### 2026-08-02 (score 68, +42)

- [security regression] Provenance: unverified → fail
- [security improvement] Known CVEs: unverified → partial
- [security improvement] Install scripts: unverified → pass
- [security improvement] Malware scan: unverified → pass
- [functional regression] Schema quality: 100 → unverified
- [functional regression] Security disclosure: fail → unverified
- [functional regression] Tool coverage: 100 → unverified
- [functional improvement] Dependency health: unverified → partial
- [functional improvement] Maintenance: unverified → pass
- [functional improvement] MCP protocol: unverified → pass
- [functional improvement] Stability: unverified → 0.23
- [functional improvement] Schema quality: unverified → good
- [functional improvement] License: unverified → pass
- [functional] Licence: MIT

### 2026-07-31 (score 26, −26)

- [functional] We updated how we score, so this day's move reflects our rubric, not a change to the server

### 2026-07-27 (score 52)

First indexed and scored.

## MCP tools (9)

### `validar_base_legal` (~104 tokens)

Validar Base Legal

Verifica se uma base legal é adequada para determinado tratamento de dados (Art. 7º e 11º LGPD)

Input parameters:

- `base_legal` (string, required): Nome ou identificador da base legal utilizada
- `finalidade` (string): Finalidade do tratamento para análise de adequação
- `tipo_dado` (string, required): Tipo de dado: 'pessoal' (Art. 7º) ou 'sensivel' (Art. 11º)

### `verificar_consentimento` (~53 tokens)

Verificar Consentimento

Valida se o consentimento atende aos requisitos do Art. 8º da LGPD

Input parameters:

- `criterios` (object, required)
- `observacoes` (string): Observações adicionais sobre o contexto do consentimento

### `gerar_modelo_consentimento` (~127 tokens)

Gerar Modelo de Consentimento

Gera modelo de termo de consentimento conforme LGPD (Art. 8º)

Input parameters:

- `compartilhamento` (boolean): Se haverá compartilhamento de dados com terceiros
- `dados_coletados` (string): Lista resumida dos dados coletados (ex: nome, e-mail, CPF)
- `dados_sensiveis` (boolean): Se o tratamento envolve dados sensíveis
- `finalidade` (string, required): Finalidade do tratamento para a qual o consentimento é solicitado
- `retencao` (string): Prazo ou critério de retenção dos dados

### `avaliar_necessidade_pia` (~62 tokens)

Avaliar Necessidade de PIA

Indica se o tratamento exige Relatório de Impacto (PIA/RIPD) conforme Art. 38 da LGPD

Input parameters:

- `criterios` (object, required)
- `descricao_processamento` (string): Breve descrição do processamento para contexto

### `checklist_compliance` (~64 tokens)

Checklist de Conformidade

Gera checklist de conformidade LGPD para um cenário específico

Input parameters:

- `ambito` (string): Âmbito do tratamento (comercial, saúde, educação, governo, geral)
- `cenario` (string, required): Breve descrição do cenário ou processo a ser avaliado

### `gerar_politica_privacidade` (~160 tokens)

Gerar Política de Privacidade

Auxilia na estruturação de política de privacidade conforme LGPD

Input parameters:

- `base_legal` (string): Bases legais utilizadas (ex: consentimento, execução de contrato)
- `compartilhamento` (string): Se e com quem os dados são compartilhados
- `contato_dpo` (string): Canal de contato do encarregado (DPO)
- `dados_coletados` (string): Tipos de dados coletados (ex: nome, e-mail, CPF)
- `finalidades` (string): Finalidades principais do tratamento (separadas por vírgula)
- `nome_empresa` (string, required): Nome da empresa ou organização
- `retencao` (string): Prazo ou critério de retenção dos dados

### `consultar_direitos_titular` (~60 tokens)

Consultar Direitos do Titular

Lista e explica os direitos do titular aplicáveis (Arts. 17 e 18 LGPD)

Input parameters:

- `contexto` (string): Contexto em que os direitos são consultados (ex: solicitação de acesso, revogação)

### `mapear_dados_sensiveis` (~73 tokens)

Mapear Dados Sensíveis

Ajuda a identificar categorias de dados sensíveis conforme Art. 11º LGPD

Input parameters:

- `categorias_informadas` (string): Categorias de dados que você suspeita serem sensíveis (separadas por vírgula)
- `contexto` (string): Contexto do tratamento para análise

### `avaliar_risco_tratamento` (~49 tokens)

Avaliar Risco de Tratamento

Avaliação simplificada de risco de um tratamento de dados pessoais

Input parameters:

- `descricao` (string, required): Descrição do tratamento de dados a ser avaliado
- `respostas` (object, required)

## Diagnostics

Captured diagnostic sections: Provenance, Dependencies. The full working is on the page: https://verifymcp.io/servers/lordmendes-lgpd-mcp/lordmendes-lgpd-mcp#diagnostics

## Score history

- 2026-08-04: 69
- 2026-08-03: 69
- 2026-08-02: 68
- 2026-08-01: 26
- 2026-07-31: 26
- 2026-07-30: 52
- 2026-07-28: 52
- 2026-07-27: 52

## Links

- npm package: https://www.npmjs.com/package/@lordmendes/lgpd-mcp
- Socket report: https://socket.dev/npm/package/@lordmendes/lgpd-mcp
- Repository: https://github.com/LordMendes/lgpd-mcp
- Changelog RSS feed: https://verifymcp.io/servers/lordmendes-lgpd-mcp/lordmendes-lgpd-mcp/changelog.xml
- Changelog JSON feed: https://verifymcp.io/servers/lordmendes-lgpd-mcp/lordmendes-lgpd-mcp/changelog.json
- HTML version of this page: https://verifymcp.io/servers/lordmendes-lgpd-mcp/lordmendes-lgpd-mcp