Atlassian MCP Server

# Atlassian MCP Server MCP server that lets AI assistants interact with Jira through the Atlassian CLI. ## Quick Start See [QUICKSTART.md](QUICKSTART.md) for installation and setup. ## Features ✅ Search issues with JQL queries ✅ View full issue details ✅ Add comments ✅ Update status/transitions ✅ Assign to users ✅ Manage labels and custom fields ✅ Link related issues ## How It Works The MCP server calls the Atlassian CLI (`acli`) commands: 1. AI assistant calls an MCP tool (e.g., `jira_search`) 2. MCP server executes corresponding `acli` command 3. Results are parsed and returned to the AI ## Prerequisites - Node.js 18+ - Atlassian CLI: `winget install Atlassian.AtlassianCli` - Authenticated Jira account: `acli jira auth login` ## Available Tools | Tool | Description | |------|-------------| | `jira_search` | Search with JQL queries | | `jira_get_issue` | Get issue details | | `jira_comment` | Add comments | | `jira_update_status` | Change status | | `jira_assign` | Assign to user | | `jira_set_field` | Update custom fields | | `jira_add_label` | Add labels | | `jira_remove_label` | Remove labels | | `jira_link_issue` | Link issues | ## Usage Example Ask your AI assistant: - "Find my open work items" - "Add a comment to PROJ-123" - "Show high priority issues" - "Move PROJ-456 to In Progress" The AI will automatically use the appropriate MCP tools. ## Development ```powershell npm install # Install dependencies npm run build # Build TypeScript npm run watch # Auto-rebuild on changes npm start # Run the server ``` ## Links - [Quick Start Guide](QUICKSTART.md) - [MCP Documentation](https://modelcontextprotocol.io) - [Atlassian CLI](https://github.com/atlassian-labs/atlassian-cli)