mcp-adr

mcp-adr

Enables AI assistants to create, manage, diagram, and export Architecture Decision Records (ADRs) directly from conversation.

Category
访问服务器

README

mcp-adr

PyPI version License: MIT Python

An MCP server that lets AI assistants create, manage, diagram, and export Architecture Decision Records (ADRs) directly from your conversation.

What are ADRs?

Architecture Decision Records are lightweight documents that capture the context, rationale, and consequences of significant architectural choices made during software development. They provide a searchable, version-controlled audit trail that helps teams understand why the system is built the way it is — not just how. Keeping ADRs close to the code prevents institutional knowledge from walking out the door when team members change.

Features

  • Six typed templates — architecture, technology, integration, data, security, infrastructure — each with domain-specific sections generated automatically
  • Full lifecycle management — propose, accept, deprecate, or supersede ADRs with a single tool call; bidirectional links are maintained automatically
  • Diagram generation — Mermaid, PlantUML, and Draw.io output formats with per-ADR and project-wide overview diagrams
  • Impact analysis — find every ADR that mentions a component, build a full transitive dependency graph
  • Full-text search — query across all ADR content in the project
  • HTML export — render every ADR to standalone HTML pages with navigation
  • Companion skill — a Claude Code skill that gives the assistant deep ADR workflow knowledge without tool calls

Installation

pip install mcp-adr
# or
uv add mcp-adr

Configuration

Claude Code (settings.json)

{
  "mcpServers": {
    "mcp-adr": {
      "command": "mcp-adr"
    }
  }
}

Environment variables

Variable Default Description
ADR_DIR docs/adr Directory where ADR markdown files live

Every tool also accepts an optional project_path parameter to override the working directory at call time.


Tools Reference

CRUD

Tool Key parameters Description
adr_create title, type, context, decision, deciders Create a new ADR from a typed template
adr_read query Read an ADR by number or title substring
adr_update number, content Overwrite an ADR with new markdown content
adr_list status, type List all ADRs, optionally filtered
adr_search query Full-text search across all ADR content

Lifecycle

Tool Key parameters Description
adr_update_status number, status, reason Change status (Proposed/Accepted/Deprecated/Superseded)
adr_supersede old_number, new_number Mark an ADR as superseded, linking both documents
adr_deprecate number, reason Deprecate an ADR with a recorded reason
adr_link from_number, to_number Add a bidirectional related link between two ADRs
adr_history query Return matching ADRs as a timeline sorted by date

Diagrams

Tool Key parameters Description
adr_diagram number, format, diagram_type Generate a diagram for a single ADR
adr_overview format, status_filter Generate an overview diagram of all ADRs

Analysis

Tool Key parameters Description
adr_impact component Find all ADRs that mention a given component
adr_dependencies number, format Build or filter the ADR dependency graph

Export

Tool Key parameters Description
adr_export output_dir Export all ADRs to HTML files

Example Workflow

The following example walks through capturing a major API migration decision.

1. Create the ADR

adr_create(
    title="Migrate from REST to GraphQL",
    type="architecture",
    context="The mobile team reports over-fetching on every screen. REST endpoints return 40+ fields; clients use 5.",
    decision="Adopt GraphQL via Apollo Server. REST endpoints remain for external partners.",
    deciders="platform-team"
)
# → {"number": 1, "title": "Migrate from REST to GraphQL", "status": "Proposed", ...}

2. Generate a diagram

adr_diagram(number=1, format="mermaid")
# → {"number": 1, "format": "mermaid", "result": "<Mermaid context for LLM to render>"}

3. Accept the decision

adr_update_status(number=1, status="Accepted", reason="Approved in architecture review 2026-04-11")
# → {"number": 1, "old_status": "Proposed", "new_status": "Accepted"}

4. Check impact before changing the API layer

adr_impact(component="REST")
# → {"component": "REST", "count": 1, "results": [...]}

5. Export to HTML for sharing

adr_export(output_dir="site/adrs")
# → {"output_dir": "site/adrs", "files_count": 1, "files": ["site/adrs/ADR-0001.html"]}

Template Types

Each type value activates a set of domain-specific extra sections inserted between Consequences and Diagram.

Type Extra sections
architecture Components, Interactions, Constraints
technology Evaluation Criteria, Comparison Matrix
integration Interface Contract, Data Flow, Failure Modes
data Schema Changes, Migration Strategy, Rollback Plan
security Threat Model, Controls, Compliance
infrastructure Topology, Scaling Strategy, DR Plan

All types share the common sections: Context, Decision, Alternatives Considered, Consequences (Positive / Negative / Risks), Diagram, Notes.


Diagram Formats

Format Output Rendering Best for
mermaid Text GitHub, GitLab, Notion, etc. Quick inline diagrams in markdown
plantuml Text PlantUML server or plugin Richer UML notation, sequence diagrams
drawio XML file draw.io / diagrams.net Editable, polished architecture diagrams

For mermaid and plantuml, the tool returns a context block that the LLM uses to render or display the diagram. For drawio, the tool writes a .drawio file alongside the ADR and records a link in the ADR's Diagram section.


Export

adr_export renders every ADR in the project to a self-contained HTML file using a built-in Jinja2 template. Files are written to output_dir (default: docs/adr/html). An index.html is also generated.

adr_export(output_dir="docs/adr/html")
# Produces:
#   docs/adr/html/index.html
#   docs/adr/html/ADR-0001-migrate-from-rest-to-graphql.html
#   ...

Companion Skill

A Claude Code skill is included that gives the assistant deep ADR workflow knowledge — it understands naming conventions, when to propose vs accept, how to chain tools, and how to produce complete ADRs in one pass.

Install

cp skills/adr/SKILL.md ~/.claude/skills/adr/SKILL.md

After installation, Claude Code will automatically load the skill when working with ADRs.


Development

git clone https://github.com/mauriziomocci/mcp-adr.git
cd mcp-adr
uv sync
uv run pytest -v
uv run ruff check src/mcp_adr/
uv run ruff format --check src/mcp_adr/


mcp-adr (Italiano)

Un server MCP che permette agli assistenti AI di creare, gestire, visualizzare ed esportare Architecture Decision Records (ADR) direttamente dalla conversazione.

Cosa sono gli ADR?

Gli Architecture Decision Records sono documenti leggeri che catturano il contesto, la motivazione e le conseguenze delle scelte architetturali significative prese durante lo sviluppo software. Forniscono una traccia verificabile e versionata che aiuta i team a capire perché il sistema e costruito in un certo modo — non solo come. Mantenere gli ADR vicino al codice evita la perdita di conoscenza istituzionale quando i membri del team cambiano.

Installazione

pip install mcp-adr
# oppure
uv add mcp-adr

Configurazione

Claude Code (settings.json)

{
  "mcpServers": {
    "mcp-adr": {
      "command": "mcp-adr"
    }
  }
}

Variabili d'ambiente

Variabile Predefinito Descrizione
ADR_DIR docs/adr Directory in cui risiedono i file markdown ADR

Riferimento strumenti

CRUD

Strumento Parametri principali Descrizione
adr_create title, type, context, decision, deciders Crea un nuovo ADR da un template tipizzato
adr_read query Legge un ADR per numero o sottostringa del titolo
adr_update number, content Sovrascrive un ADR con nuovo contenuto markdown
adr_list status, type Elenca tutti gli ADR, con filtri opzionali
adr_search query Ricerca full-text su tutto il contenuto ADR

Ciclo di vita

Strumento Parametri principali Descrizione
adr_update_status number, status, reason Cambia lo stato (Proposed/Accepted/Deprecated/Superseded)
adr_supersede old_number, new_number Marca un ADR come sostituito, collegando entrambi
adr_deprecate number, reason Depreca un ADR con una motivazione registrata
adr_link from_number, to_number Aggiunge un collegamento bidirezionale tra due ADR
adr_history query Restituisce gli ADR corrispondenti come timeline

Diagrammi

Strumento Parametri principali Descrizione
adr_diagram number, format, diagram_type Genera un diagramma per un singolo ADR
adr_overview format, status_filter Genera un diagramma panoramico di tutti gli ADR

Analisi

Strumento Parametri principali Descrizione
adr_impact component Trova tutti gli ADR che menzionano un componente
adr_dependencies number, format Costruisce o filtra il grafo delle dipendenze ADR

Esportazione

Strumento Parametri principali Descrizione
adr_export output_dir Esporta tutti gli ADR in HTML

Esempio di workflow

# 1. Crea l'ADR
adr_create(
    title="Migrazione da REST a GraphQL",
    type="architecture",
    context="Il team mobile segnala over-fetching su ogni schermata.",
    decision="Adottare GraphQL via Apollo Server. Gli endpoint REST rimangono per i partner esterni.",
)
# → ADR-0001 creato con stato Proposed

# 2. Genera il diagramma
adr_diagram(number=1, format="mermaid")
# → Contesto Mermaid restituito all'LLM

# 3. Accetta la decisione
adr_update_status(number=1, status="Accepted")
# → Stato cambiato: Proposed → Accepted

# 4. Analizza l'impatto
adr_impact(component="REST")
# → Lista degli ADR che menzionano REST

# 5. Esporta in HTML
adr_export(output_dir="docs/adr/html")
# → File HTML generati

Sviluppo

git clone https://github.com/mauriziomocci/mcp-adr.git
cd mcp-adr
uv sync
uv run pytest -v
uv run ruff check src/mcp_adr/

推荐服务器

Baidu Map

Baidu Map

百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。

官方
精选
JavaScript
Playwright MCP Server

Playwright MCP Server

一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。

官方
精选
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。

官方
精选
本地
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。

官方
精选
本地
TypeScript
VeyraX

VeyraX

一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。

官方
精选
本地
Kagi MCP Server

Kagi MCP Server

一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。

官方
精选
Python
graphlit-mcp-server

graphlit-mcp-server

模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。

官方
精选
TypeScript
e2b-mcp-server

e2b-mcp-server

使用 MCP 通过 e2b 运行代码。

官方
精选
Neon MCP Server

Neon MCP Server

用于与 Neon 管理 API 和数据库交互的 MCP 服务器

官方
精选
Exa MCP Server

Exa MCP Server

模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。

官方
精选