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.
Best use case
mcp-atlassian is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using mcp-atlassian should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/mcp-atlassian/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How mcp-atlassian Compares
| Feature / Agent | mcp-atlassian | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
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