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Jira MCP

Manage Atlassian Jira issues from your AI agent

Developer ToolsOpen SourceClaudeCursorWindsurfAll ModelsModerate
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Maintenance status

Repository link unavailable
Checked September 28, 2026

The GitHub link we had for this server no longer resolves.

How to Install Jira MCP

$npx mcp-jira

Requires Claude Desktop, Cursor, Windsurf, or another MCP-compatible client.

Setup by client

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "jira-mcp": {
      "command": "npx",
      "args": [
        "mcp-jira"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "jira-mcp": {
      "command": "npx",
      "args": [
        "mcp-jira"
      ]
    }
  }
}

VS Code (.vscode/mcp.json)

{
  "servers": {
    "jira-mcp": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "mcp-jira"
      ]
    }
  }
}

Claude Code (terminal)

claude mcp add jira-mcp -- npx mcp-jira

Add any API keys or environment variables the server's README lists.

About Jira MCP

The Jira MCP server lets AI agents create, update, search, and transition Jira issues. Agents can read sprint boards, query backlogs, assign tickets, and post comments, which suits autonomous engineering workflows. If your team uses Linear instead, the Linear MCP setup covers the same ground, and Microsoft shops can use the Azure DevOps MCP setup for work items and boards.

Jira MCP is a Developer Tools MCP server designed for professional engineers and engineering teams. It enables wiring AI assistants into the inner loop of writing and shipping code by exposing Git, package, build, and CLI operations as MCP tools. Key capabilities include git and github operations (status, blame, prs), package and dependency inspection, build and test runner integration, and structured tool calls that work cleanly inside an LLM context. It integrates with Git, GitHub, GitLab, npm, pnpm, Docker, and common build systems, and is best suited for professional engineers and engineering teams who need reviewing diffs and opening prs from chat.

Key Features

  • jira
  • atlassian
  • project-management
  • ticketing
  • Git and GitHub operations (status, blame, PRs)
  • Package and dependency inspection

Pricing

Open Source: from Free (requires Jira API key)

Pros & Cons

Pros

  • Acts more like a pair programmer with real tools
  • Tight scoping (one repo, dry-run) limits blast radius
  • Keeps flow inside the editor

Cons

  • Write operations require explicit guardrails
  • Quality of output depends on repo hygiene
  • Larger monorepos may need extra filtering

Best For

  • Reviewing diffs and opening PRs from chat
  • Triaging CI failures
  • Scaffolding new packages or modules
  • Repo-wide refactors with verification

Our Take on Jira MCP

Most capable Jira MCP: must-have for teams running engineering workflows through AI agents.

Frequently Asked Questions

Tags

#Developer Tools#jira#atlassian#project-management#ticketing