OpenClaw

mcp-atlassian

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.

atakanermis0 来源安装数☆ 0 仓库 Stars

查看来源 ↗安装与使用 SKILL.md ↗

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求，再添加到工作流。

SkillHub CLI

skillhub install atakanermis/atlassian-mcp

打开来源仓库，查看说明和兼容环境后，按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent，让它先读取说明、核对依赖，并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

MCP Atlassian

Overview

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.

Quick Start

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

Environment Variables

JIRA_URL: Your Atlassian instance URL (e.g., https://company.atlassian.net)
JIRA_USERNAME: Your Jira email address
JIRA_API_TOKEN: Your Jira API token (create in Account Settings → Security)

Using MCP Atlassian with Clawdbot

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.

Resources

scripts/

run_mcp_atlassian.sh - Simplified runner script with credential handling

来源信息

Source: github
Repository: openclaw/skills
Path: skills/atakanermis/atlassian-mcp
Version: —
Commit: 5cba39f367a78deb5a940dc2a86728591a879900
分类来源: rules
状态: active
可见性: public

这些信息来自收录时的来源分析，可能滞后；使用前请核对最新来源文件。

来源内容

SKILL.md

# MCP Atlassian

## Overview

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.

## Quick Start

Pull and run the container with your Jira credentials:

```bash
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:

```bash
JIRA_API_TOKEN=your_token bash scripts/run_mcp_atlassian.sh
```

## Environment Variables

- **JIRA_URL**: Your Atlassian instance URL (e.g., `https://company.atlassian.net`)
- **JIRA_USERNAME**: Your Jira email address
- **JIRA_API_TOKEN**: Your Jira API token (create in [Account Settings → Security](https://id.atlassian.com/manage-profile/security/api-tokens))

## Using MCP Atlassian with Clawdbot

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.

## Resources

### scripts/
- **run_mcp_atlassian.sh** - Simplified runner script with credential handling

搜索