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nakada-memo

Confluence-Based Code Review MCP Server

by nakada-memo
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Python
Hybrid

Confluence設計書ベースのコードレビューMCPサーバー

Confluenceの設計書に沿ってコードレビューを行うMCPサーバーです。既存のConfluence MCPサーバーと連携して、設計書の内容とローカルのコード実装を比較・分析し、品質向上のための提案を行います。

導入手順

前提条件

  • python、nodeが使える環境であること

  • clineをインストールしていること

  • clineが使える状態であること(bedrockからapi-keyを払い出すなどする)

1. mcp-remoteのインストール

npm install -g mcp-remote

2. cline_mcp_settings.jsonの編集

clineの設定ファイルを開き、まずはatlassian mcp serverの導入をします 接続するかvscodeを開き直すかするとatlassianの認証ページが開かれたはずです confluenceへのアクセス許可をしてacceptしてください

{
  "mcpServers": {
    "atlassian": {
      "autoApprove": [],
      "disabled": false,
      "timeout": 60,
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.atlassian.com/v1/sse"
      ],
      "env": {},
      "transportType": "stdio"
    }
  }
}

3. code-eval-mcpの設定

依存関係をインストール

pip install -r requirements.txt

4. パッケージのインストール

pip install -e .

5. cline_mcp_settings.jsonへの追記

先ほどのatlassianを追加した設定ファイルにさらに追記し、最終的に以下のようになります

{
  "mcpServers": {
    "atlassian": {
      "autoApprove": [],
      "disabled": false,
      "timeout": 60,
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "mcp-remote",
        "https://mcp.atlassian.com/v1/sse"
      ],
      "env": {}
    },
    "code-eval-prompt": {
      "autoApprove": [],
      "disabled": false,
      "timeout": 60,
      "type": "stdio",
      "command": "python",
      "args": [
        "<絶対パス>/code-review-following-confluence/mcp_server/server.py"
      ],
      "env": {}
    }
  }
}

Related MCP server: Cursor Auto-Review MCP Server

使用方法

clineで以下のプロンプトを入力してください

server_name: code-eval-prompt  
tool_name: generate_flow_overview
arguments: {
  "main_page": "173735938",
  "subpages": [
    "207519745",
    "167706625"
  ],
  "project_root": "<絶対パス>\project\kaonamae-nodejs",
  "hint_files": [
    "controllers\common\life.ts", 
    "services\common\lifeService.ts"
  ],
  "dependency_depth": 3
}

パラメータ説明

  • main_page: confluenceの設計書のメインとなるページ(URL全体ではなくページIDが良い気がします)

  • subpages: main_pageのほかに読み込ませたいページ

  • project_root: ローカルにあるプロジェクトルート

  • hint_files: 今回評価したいファイルのヒント

  • dependency_depth: どこまで依存関係を辿るかの数字

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