菜单
Run the Model Context Protocol (MCP) Atlassian server in Docker, enabling integration with Jira, Confluence, and other Atlassian products. Use when you need to query Jira issues, search Confluence, or interact with Atlassian services programmatically. Requires Docker and valid Jira API credentials.
默认使用会先检查来源的 Prompt；你也可以切换为直接命令，或下载本地副本。
决定是否安装前，请先阅读 SKILL.md，以及 SkillsMP 当前展示的配套文件。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/duclm1x1/Dive-Ai --skill mcp-atlassian命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Persistent memory system for AI agents following Model Context Protocol (MCP). Use for storing long-term memories across sessions, semantic search of past knowledge, building knowledge graphs, auto-injecting context, deduplicating memories, syncing to cloud storage. Essential for agents that need to remember decisions, solutions, preferences, and learned patterns over time.
Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.
基于 SOC 职业分类
正在显示 SKILL.md
| name | mcp-atlassian |
| description | Run the Model Context Protocol (MCP) Atlassian server in Docker, enabling integration with Jira, Confluence, and other Atlassian products. Use when you need to query Jira issues, search Confluence, or interact with Atlassian services programmatically. Requires Docker and valid Jira API credentials. |
The MCP Atlassian server provides programmatic access to Jira and other Atlassian services through the Model Context Protocol. Run it in Docker with your Jira credentials to query issues, manage projects, and interact with Atlassian tools.
Pull and run the container with your Jira credentials:
docker pull ghcr.io/sooperset/mcp-atlassian:latest
docker run --rm -i \
-e JIRA_URL=https://your-company.atlassian.net \
-e JIRA_USERNAME=your.email@company.com \
-e JIRA_API_TOKEN=your_api_token \
ghcr.io/sooperset/mcp-atlassian:latest
With script (faster):
Run the bundled script with your API token:
JIRA_API_TOKEN=your_token bash scripts/run_mcp_atlassian.sh
https://company.atlassian.net)Once running, the MCP server exposes Jira tools for use. Reference the container as an MCP source in your Clawdbot config to query issues, create tasks, or manage Jira directly from your agent.