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Personal JIRA MCP

一个基于FastMCP框架的个人JIRA集成插件,用于查询JIRA问题详情、列表及进行基本操作,支持JIRA附件管理。

主要功能

  • 查询JIRA问题详情和问题列表
  • 创建和更新JIRA问题
  • 获取项目列表和详情
  • 管理和下载JIRA问题附件
    • 自动将附件保存到~/.jira_mcp目录
    • 按问题ID组织的子目录结构
    • 支持下载单个或所有附件

安装

前提条件

  • Python 3.10 或更高版本
  • 安装 uv (推荐) 或 pip

安装 uv

uv 是一个快速的 Python 包管理器,推荐用于安装和管理 Python 包。

Linux / macOS

# 使用 curl 安装
curl -sSf https://astral.sh/uv/install.sh | sh

# 或使用 pip 安装
pip install uv

Windows

# 使用 PowerShell 安装
powershell -c "irm https://astral.sh/uv/install.ps1 | iex"

# 或使用 pip 安装
pip install uv

验证安装

uv --version

从PyPI安装

# 使用 uv (推荐)
uv pip install personal-jira-mcp

# 或使用 pip
pip install personal-jira-mcp

从GitHub安装

# 使用 uv (推荐)
uv pip install git+https://github.com/yuezheng2006/mcp-server-jira.git

# 或使用 pip
pip install git+https://github.com/yuezheng2006/mcp-server-jira.git

本地开发安装

# 克隆仓库
git clone https://github.com/yuezheng2006/mcp-server-jira.git
cd mcp-server-jira

# 使用 uv 安装依赖并开发模式安装
uv pip install -e .

# 或使用 pip
pip install -e .

配置

创建一个.env文件,设置以下环境变量:

JIRA_SERVER_URL=http://your-jira-instance.com
JIRA_USERNAME=your_username
JIRA_PASSWORD=your_password
# 或者使用API令牌
JIRA_API_TOKEN=your_api_token

Cursor配置

在 .cursor/mcp.json 中添加以下配置:

{
  "mcpServers": {
    "personal-jira-mcp": {
      "command": "personal-jira-mcp",
      "args": ["--transport", "stdio"],
      "env": {
        "JIRA_SERVER_URL": "http://your-jira-instance.com",
        "JIRA_USERNAME": "your_username",
        "JIRA_PASSWORD": "your_password"
      }
    }
  }
}

快速开始

启动MCP服务器

# 使用stdio传输模式
personal-jira-mcp --transport stdio

# 使用sse传输模式
personal-jira-mcp --transport sse

命令行工具

# 下载单个附件
personal-jira-extract ERP-161 example.png --output saved_file.png

# 下载问题的所有附件
personal-jira-attachments ERP-161

# 仅列出问题的所有附件,不下载
personal-jira-attachments ERP-161 --list-only

# 输出附件信息到JSON文件
personal-jira-attachments ERP-161 --output attachments.json

在Cursor中使用

配置好mcp.json后,可以在Cursor中使用以下自然语言命令:

查看JIRA问题ERP-161的详情
下载JIRA问题ERP-161的所有附件
搜索所有处于"进行中"状态的JIRA问题

详细文档

更详细的使用指南和API参考,请查看使用指南。

开发

安装开发依赖

# 使用 uv
uv pip install -e ".[dev]"

# 或使用 pip
pip install -e ".[dev]"

发布

构建并发布到PyPI

# 确保已安装构建工具
pip install build twine

# 构建包
python -m build

# 上传到PyPI
python -m twine upload dist/*

许可证

MIT

Metadata

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