
Atlassian 工具(Confluence、Jira)的 MCP 服务器
概览
适用于Atlassian产品(Confluence和Jira)的模型上下文协议(MCP)服务器。支持云端和服务器/数据中心部署。 https://github.com/user-attachments/assets/35303504-14c6-4ae4-913b-7c25ea511c3e https://github.com/user-attachments/assets/7fe9c488-ad0c-4876-9b54-120b666bb785 去https://id.atlassian.com/manage-profile/security/api-tokens创建一个代币。 对于服务器/数据中心,建议使用个人访问令牌。参见认证。 添加到你的Claude桌面或光标MCP配置中: :使用JIRA_PERSONAL_TOKEN代替JIRA_USERNAME + JIRA_API_TOKEN。详情请参见认证。 文档也提供llms.txt格式,LLM可以轻松调用:- llms.txt — 文档网站地图- llms-full.txt — 完整文档
概述(AI 翻译)
适用于Atlassian产品(Confluence和Jira)的模型上下文协议(MCP)服务器。支持云端和服务器/数据中心部署。
https://github.com/user-attachments/assets/35303504-14c6-4ae4-913b-7c25ea511c3e
Confluence 演示
https://github.com/user-attachments/assets/7fe9c488-ad0c-4876-9b54-120b666bb785
快速启动
1.获取你的API令牌
去https://id.atlassian.com/manage-profile/security/api-tokens创建一个代币。
对于服务器/数据中心,请使用个人访问令牌。参见认证。
2.配置您的IDE
添加到你的Claude桌面或光标MCP配置中:
服务器/数据中心用户:使用
JIRA_PERSONAL_TOKEN代替JIRA_USERNAME+JIRA_API_TOKEN。详情请参见认证。
自动手写代码
使用同一个uvx服务器,使用你的Atlassian凭证:
在add后加上--scope project以保持配置在当前状态
项目。请参见自动手代码
安装和CLI详情。
3.开始使用
请你的AI助手:
- “查找分配给我的PROJ项目中的问题”
- “搜索 Confluence 以获取入职文档”
- “为登录问题创建错误工单”
本页由 AI 翻译,技术细节请以原文为准。
README
以下为原文 README 节选,完整内容请查看原文。
MCP Atlassian
Model Context Protocol (MCP) server for Atlassian products (Confluence and Jira). Supports both Cloud and Server/Data Center deployments.
https://github.com/user-attachments/assets/35303504-14c6-4ae4-913b-7c25ea511c3e
Quick Start
1. Get Your API Token
Go to https://id.atlassian.com/manage-profile/security/api-tokens and create a token.
For Server/Data Center, use a Personal Access Token instead. See Authentication.
2. Configure Your IDE
Add to your Claude Desktop or Cursor MCP configuration:
{
"mcpServers": {
"mcp-atlassian": {
"command": "uvx",
"args": ["mcp-atlassian"],
"env": {
"JIRA_URL": "https://your-company.atlassian.net",
"JIRA_USERNAME": "[email protected]",
"JIRA_API_TOKEN": "your_api_token",
"CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",
"CONFLUENCE_USERNAME": "[email protected]",
"CONFLUENCE_API_TOKEN": "your_api_token"
}
}
}
}
Server/Data Center users: Use
JIRA_PERSONAL_TOKENinstead ofJIRA_USERNAME+JIRA_API_TOKEN. See Authentication for details.
Autohand Code
Use the same uvx server with your Atlassian credentials:
autohand mcp add mcp-atlassian env \
JIRA_URL=https://your-company.atlassian.net \
[email protected] \
JIRA_API_TOKEN=your_api_token \
CONFLUENCE_URL=https://your-company.atlassian.net/wiki \
[email protected] \
CONFLUENCE_API_TOKEN=your_api_token \
uvx mcp-atlassian
Add --scope project after add to keep the configuration in the current
project. See Autohand Code for current
installation and CLI details.
3. Start Using
Ask your AI assistant to:
- “Find issues assigned to me in PROJ project”
- “Search Confluence for onboarding docs”
- “Create a bug ticket for the login issue”
- “Update the status of PROJ-123 to Done”
Documentation
安装
uvx mcp-atlassian配置
{
"mcpServers": {
"mcp-atlassian": {
"command": "uvx",
"args": ["mcp-atlassian"],
"env": {
"JIRA_URL": "https://your-company.atlassian.net",
"JIRA_USERNAME": "[email protected]",
"JIRA_API_TOKEN": "your_api_token",
"CONFLUENCE_URL": "https://your-company.atlassian.net/wiki",
"CONFLUENCE_USERNAME": "[email protected]",
"CONFLUENCE_API_TOKEN": "your_api_token"
}
}
}
}