mcp-atlassian

What This Skill Does

The mcp-atlassian skill facilitates seamless integration between your OpenClaw AI agent and the Atlassian ecosystem, specifically Jira. By leveraging the Model Context Protocol (MCP), it enables the agent to act as a bridge between your natural language requests and your project management platform. The skill runs as a Docker container, providing a secure, isolated environment to perform API-based operations such as fetching Jira issues, updating project statuses, and searching Confluence documentation. It essentially grants your AI agent the capability to read from and write to your Atlassian workspace, effectively turning your assistant into a project manager that understands your current tasks.

Installation

To begin, ensure you have Docker installed and running on your machine. Install the skill using the OpenClaw command-line interface: clawhub install openclaw/skills/skills/atakanermis/atlassian-mcp. Once installed, you must provide your Atlassian credentials via environment variables. The easiest way to get started is to use the bundled shell script provided in the repository. Simply export your JIRA_API_TOKEN as an environment variable and execute the provided runner script. Ensure your JIRA_URL and JIRA_USERNAME are correctly configured to point to your specific organization's Atlassian instance to establish a successful handshake.

Use Cases

This skill is ideal for teams aiming to automate administrative project management tasks. Use it to automatically generate status reports by querying open tickets, or to triage incoming bug reports directly from your chat interface. It is particularly effective for engineering leads who need to synthesize project progress across multiple boards without manually clicking through web interfaces. It also serves as a perfect tool for on-call engineers needing quick access to specific incident tickets during a support rotation.

Example Prompts

1. "OpenClaw, list all high-priority bugs assigned to me in the current Jira sprint."
2. "Search Confluence for the latest deployment documentation and summarize the prerequisites for our current project."
3. "Create a new task in the 'Backend' project titled 'Update API Documentation' and set the priority to medium."

Tips & Limitations

Always ensure your Jira API token has the minimum necessary permissions to minimize security risks. Because this tool interacts with your live production data, ensure your OpenClaw configuration is restricted to trusted workspaces. Note that performance is subject to your Jira API rate limits; if you are querying thousands of issues simultaneously, you may hit request throttling. Always double-check critical actions, such as closing or deleting tickets, before confirming them in the chat interface.