GitLab PR 分析 MCP 服务器

该项目提供了一个 MCP（模型控制协议）服务器，它将 GitLab 合并请求分析与 Confluence 文档集成在一起。它允许您获取合并请求详细信息、分析代码更改并将结果存储在 Confluence 页面中。

特征

从 GitLab 获取合并请求详细信息
分析合并请求中的代码更改
生成详细报告，包括：
- 基本合并请求信息
- 代码变更统计
- 文件类型分析
- 详细文件变更
将分析结果存储在 Confluence 中
全面的调试日志记录

先决条件

Python 3.8 或更高版本
具有 API 访问权限的 GitLab 帐户
Confluence 帐户（可选，用于存储分析结果）
访问所需的 GitLab 项目

安装

克隆存储库：

git https://github.com/CodeByWaqas/MRConfluenceLinker-mcp-server.git
cd MRConfluenceLinker-mcp-server

创建并激活虚拟环境：

python -m venv .venv
source .venv/bin/activate  # On Windows, use: .venv\Scripts\activate

安装依赖项：

pip install -r requirements.txt

或者

uv add "mcp[cli]" python-gitlab python-dotenv atlassian-python-api requests

配置

复制示例环境文件：

cp .env.example .env

使用您的凭据编辑.env文件：

GITLAB_URL=https://gitlab.com
GITLAB_TOKEN=your_gitlab_token
GITLAB_PROJECT_ID=your_project_id

# Optional Confluence integration
CONFLUENCE_URL=your_confluence_url
CONFLUENCE_USERNAME=your_username
CONFLUENCE_TOKEN=your_confluence_token
CONFLUENCE_SPACE=your_space_key

获取凭证

GitLab Token ：在 GitLab 中生成具有api范围的个人访问令牌
Confluence Token ：在您的 Atlassian 帐户设置中生成 API 令牌

用法

启动 MCP 服务器：

python src/MRConfluenceLinker-mcp-server/server.py

或者

使用 Claude Desktop 进行设置

# claude_desktop_config.json
# Can find location through:
# Claude -> Settings -> Developer -> Edit Config
{
  "mcpServers": {
      "MRConfluenceLinker-mcp-server": {
          "command": "uv",
          "args": [
              "--directory",
              "/<Absolute-path-to-folder>/MRConfluenceLinker-mcp-server/src/MRConfluenceLinker-mcp-server",
              "run",
              "server.py"
          ]
      }
  }
}

2. The server will listen for commands through stdin/stdout. You can interact with it using prompts like:

您能从项目“my-project”获取合并请求 #1 的详细信息吗？您能分析项目“my-project”合并请求 #1 中的代码更改吗？您能将项目“my-project”合并请求 #1 的摘要存储在 Confluence 中吗？

## Available Tools

The server provides the following tools:

1. `fetch_mr_details`: Fetches details of a specific merge request or all merge requests
   - Parameters:
     - `project_id`: The GitLab project ID
     - `mr_id` (optional): Specific merge request ID

2. `analyze_code_changes`: Analyzes code changes in a merge request
   - Parameters:
     - `project_id`: The GitLab project ID
     - `mr_id`: The merge request ID to analyze

3. `store_in_confluence`: Stores analysis results in Confluence
   - Parameters:
     - `project_id`: The GitLab project ID
     - `mr_id` (optional): Specific merge request ID
     - `analysis` (optional): Analysis results to store

## Logging

The server generates detailed logs in `mcp_server.log` and outputs to stderr. This helps in debugging issues with:
- GitLab API access
- Confluence integration
- Code analysis
- Page creation and updates

## Error Handling

The server includes comprehensive error handling for:
- Missing environment variables
- API authentication issues
- Network connectivity problems
- Invalid project or merge request IDs
- Confluence permission issues

## Contributing

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

## License

This project is licensed under the MIT License - see the LICENSE file for details.

## Support

For support, please [create an issue](https://github.com/CodeByWaqas/MRConfluenceLinker-mcp-server/issues) or contact the maintainers.

## Project Structure

MRConfluenceLinker-mcp-server/ │ src/ # 源代码目录│ └── MRConfluenceLinker- mcp -server/ # 主服务器包 │ ...

### Key Components

- **Source Code**: Located in the `src/MRConfluenceLinker-mcp-server/` directory
  - `server.py`: Main MCP server implementation
  - `resources/client.py`: Client-side implementation contains GitLab PR integration

- **Configuration Files**:
  - `requirements.txt`: Python package dependencies
  - `pyproject.toml`: Project metadata and build configuration
  - `uv.lock`: Locked dependency versions
  - `.env.example`: Environment variables template

- **Documentation**:
  - `README.md`: Project overview and setup instructions
  - `CONTRIBUTING.md`: Contribution guidelines
  - `LICENSE`: Project license

- **Development**:
  - `__pycache__/`: Python cache files
  - `mcp_server.log`: Server logs for debugging

This server cannot be installed

security - not tested

license - permissive license

quality - not tested

How are these scores calculated?

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

将 GitLab 合并请求分析与 Confluence 文档集成，允许用户获取合并请求详细信息、分析代码更改并将分析结果存储在 Confluence 页面中。

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