jira-integration

Topics in the source

• Jira Integration Skill
• When to Activate
• Prerequisites
• Option A: MCP Server (Recommended)
• Option B: Direct REST API
• MCP Tools Reference
• Direct REST API Reference
• Fetch a Ticket

Retrieve, analyze, and update Jira tickets directly from your AI coding workflow. Supports both MCP-based (recommended) and direct REST API approaches. Fetching a Jira ticket to understand requirements Extracting testable acceptance criteria from a ticket Adding progress comments to a Jira issue Transitioning a ticket status (To Do → In Progress → Done) Linking merge requests or branches to a Jira issue Searching for issues by JQL query Install the mcp-atlassian MCP server. This exposes Jira tools directly to your AI agent. Requirements: Python 3.10+ uvx (from uv), installed via your package manager or the official uv installation documentation Add to your MCP config (e.g., /.claude.json → mcpServers): Security: Never hardcode secrets. Prefer setting JIRAURL, JIRAEMAIL, and JIRAAPITOKEN in your system environment (or a secrets manager). Only use the MCP env block for local, uncommitted config files. To get a Jira API token: 1. Go to 2. Click Create API token 3. Copy the token — store it in your environment, never in source code If MCP is not available, use the Jira REST API v3 directly via curl or a helper script. Required environment variables: | Variable | Description | |--------

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