Confluence-Based Code Review MCP Server

Confluence-Based Code Review MCP Server

An MCP server that performs code reviews by comparing local source code against design documents stored in Confluence. It integrates with Atlassian MCP servers to analyze documentation and provide suggestions for quality improvement based on design specifications.

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README

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": {}
    }
  }
}

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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