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Jira MCP Server: Zero-Downtime, Real-Time Workflow Mirroring - MCP Implementation

Jira MCP Server: Zero-Downtime, Real-Time Workflow Mirroring

Jira MCP Server ensures zero downtime with real-time mirroring of critical workflows for seamless continuity.

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Ranked in the top 3% of all AI tools in its category

About Jira MCP Server

What is Jira MCP Server: Zero-Downtime, Real-Time Workflow Mirroring?

Jira MCP Server acts as a bridge between your Jira instance and AI models, enabling seamless integration via the Model Context Protocol (MCP). It allows Large Language Models (LLMs) to interact with Jira workflows without interrupting service, ensuring real-time data synchronization. This server supports critical operations like project management, sprint tracking, and issue resolution while maintaining system availability.

How to Use Jira MCP Server: Zero-Downtime, Real-Time Workflow Mirroring?

Get started by following these steps:

  1. Install the package: Ensure Node.js v22.12.0+ is installed, then run npx -y @parassolanki/jira-mcp-server@latest.
  2. Configure access: Generate a Jira Personal Access Token (PAT) and set environment variables in claude_desktop_config.json with your PAT and Jira base URL.
  3. Integrate with your LLM tool: Define the server configuration in your AI platform (e.g., Claude Desktop) to start querying Jira workflows.

Jira MCP Server Features

Key Features of Jira MCP Server: Zero-Downtime, Real-Time Workflow Mirroring?

  • Zero Downtime: Maintain uninterrupted service during AI integration and updates.
  • Real-Time Sync: Instantly reflect changes in Jira projects, boards, sprints, and issues in your AI workflows.
  • Structured Query Support: Use predefined tools like list_projects, list_boards, and list_sprints_from_board to fetch granular data with filters and pagination.
  • Platform Compatibility: Works across macOS and Windows with OS-specific configuration tweaks.

Use Cases of Jira MCP Server: Zero-Downtime, Real-Time Workflow Mirroring?

Common scenarios include:

  • Agile Planning: "List all Kanban boards in the DEV project" to align AI-driven sprint planning.
  • Issue Management: "Show issues in sprint 456 on board 123" for real-time status updates.
  • Dynamic Reporting: "Fetch first 50 issues from the current Marketing board sprint" for automated progress tracking.
  • Cross-Team Collaboration: Enable LLMs to auto-generate reports or alerts based on Jira data without manual exports.

Jira MCP Server FAQ

FAQ from Jira MCP Server: Zero-Downtime, Real-Time Workflow Mirroring?

Does this require Jira Cloud or Server?
Supports Jira Server instances (on-premises or private cloud).
How do I troubleshoot connection issues?
Verify PAT permissions, check JIRA_BASE_URL accuracy, and ensure Node.js version compliance.
Can I customize the tools?
Future updates will allow custom tool development. Currently, predefined tools like list_issues_from_sprint are fixed.
Is there rate-limiting protection?
Jira API rate limits apply; configure maxResults and startAt parameters to avoid throttling.

Content

Jira MCP Server

NPM Version NPM Downloads License: MIT

A Model Context Protocol Server for Jira.

Provides integration with Jira through MCP, allowing LLMs to interact with it.

Jira REST Api Docs

Installation

Manual Installation

Note: Requires Node version to be 22.12.0 or above

  1. Create or get Jira Personal Access Token: Guide

  2. Add server config to Claude Desktop:

* MacOS: ~/Library/Application Support/Claude/claude_desktop_config.json
* Windows: [Check this Guide](https://gist.github.com/feveromo/7a340d7795fca1ccd535a5802b976e1f)



{
  "mcpServers": {
    "jira": {
      "command": "npx",
      "args": ["-y", "@parassolanki/jira-mcp-server@latest"],
      "env": {
        "JIRA_PERSONAL_ACCESS_TOKEN": "[[email protected]](/cdn-cgi/l/email-protection):your_personal_jira_access_token",
        "JIRA_BASE_URL": "jira_base_url"
      }
    }
  }
}

For Windows:

{
  "mcpServers": {
    "jira": {
      "command": "cmd /c npx",
      "args": ["-y", "@parassolanki/jira-mcp-server@latest"],
      "env": {
        "JIRA_PERSONAL_ACCESS_TOKEN": "[[email protected]](/cdn-cgi/l/email-protection):your_personal_jira_access_token",
        "JIRA_BASE_URL": "jira_base_url"
      }
    }
  }
}

Components

Tools

  1. list_projects: List projects from Jira.
* Required inputs: 
  * `query` (optional string): A query string used to filter the returned projects.
  * `maxResults` (optional number, max: 100): The maximum number of results to return.
  * `expand` (optional string): Expand additional information in the response. (comma separated `description`, `lead`, `issueTypes`, `url`, `projectKeys`, `permissions` and `insight`).
  1. list_boards: List boards from a project.
* Required inputs: 
  * `projectKeyOrId` (string): Key or Id of the project.
  * `name` (optional string): Name of the project.
  * `maxResults` (optional number, max: 100): The maximum number of results to return.
  * `startAt` (optional number): The starting index of the returned boards.
  * `type` (optional string): The type of boards. (can be one of `scrum` or `kanban`).
  1. list_sprints_from_board: List sprints from a board.
* Required inputs: 
  * `boardId` (string): The ID of the board.
  * `maxResults` (optional number, max: 100): The maximum number of results to return.
  * `startAt` (optional number): The starting index of the returned boards.
  1. list_issues_from_sprint: List issues from a sprint.
* Required inputs: 
  * `boardId` (string): The ID of the board.
  * `sprintId` (string): The ID of the sprint.
  * `maxResults` (optional number, max: 100): The maximum number of results to return.
  * `startAt` (optional number): The starting index of the returned boards.
  * `expand` (optional string): Expand additional information in the response. (comma separated `schema` and `names`).

Usage examples

Some example prompts you can use to interact with Jira:

  1. "Show me all Jira projects" → execute the list_projects tool to see all available projects.
  2. "What Kanban boards exist in the DEV project?" → execute the list_boards tool with the DEV project key and type parameter set to "kanban".
  3. "Show me all the sprints for board ID 123" → execute the list_sprints_from_board tool to see all sprints associated with board 123.
  4. "What issues are in sprint 456 on board 123?" → execute the list_issues_from_sprint tool to see all issues in sprint 456 on board 123.
  5. "Show me the first 50 issues from the current sprint on the Marketing board" → first execute list_boards to find the Marketing board ID, then list_sprints_from_board to find the current sprint, then list_issues_from_sprint with maxResults=50.

Development

  1. Install dependencies:
pnpm install
  1. Configure Github Access token in .env:
[[email protected]](/cdn-cgi/l/email-protection):your_personal_jira_access_token
JIRA_BASE_URL=jira_base_url
  1. Run locally with watch:
pnpm dev
  1. Build the server:
pnpm build
  1. Local debugging with inspector:
pnpm inspector

TODOS

  • list_projects
  • list_boards
  • list_sprints_from_board
  • list_issues_from_sprint
  • get_issue_by_id_or_key
  • create_issue
  • update_issue
  • delete_an_issue
  • archieve_an_issue
  • list_comments_from_issue
  • get_comment_from_issue_by_id
  • create_comment_in_issue
  • update_comment_of_issue
  • delete_comment_of_issue
  • list_subtasks_from_issue
  • get_user_by_username_or_key

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