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    Jira Mcp

    A Go-based MCP (Model Control Protocol) connector for Jira that enables AI assistants like Claude to interact with Atlassian Jira. This tool provides a seamless interface for AI models to perform common Jira operations including issue management, sprint planning, and workflow transitions.

    67 stars
    Go
    Updated Nov 2, 2025
    ai
    golang-mcp
    jira
    jira-mcp
    mcp

    Table of Contents

    • Jira MCP
    • Available tools
    • Issue Management
    • Search
    • Sprint Management
    • Status & Transitions
    • Comments
    • Worklogs
    • History & Audit
    • Issue Relationships
    • Version Management
    • Development Information
    • Installation
    • CLI Usage
    • Installation
    • Quick Start
    • Commands
    • Examples
    • Flags
    • License
    • FOR AI
    • Quick start
    • 1) Get an API token
    • 2) Add to Cursor
    • Docker
    • Binary
    • 3) Try it in Cursor
    • Configuration
    • Installation
    • Homebrew (macOS/Linux)

    Table of Contents

    • Jira MCP
    • Available tools
    • Issue Management
    • Search
    • Sprint Management
    • Status & Transitions
    • Comments
    • Worklogs
    • History & Audit
    • Issue Relationships
    • Version Management
    • Development Information
    • Installation
    • CLI Usage
    • Installation
    • Quick Start
    • Commands
    • Examples
    • Flags
    • License
    • FOR AI
    • Quick start
    • 1) Get an API token
    • 2) Add to Cursor
    • Docker
    • Binary
    • 3) Try it in Cursor
    • Configuration
    • Installation
    • Homebrew (macOS/Linux)

    Documentation

    Jira MCP

    An opinionated Jira MCP server built from years of real-world software development experience.

    Unlike generic Jira integrations, this MCP is crafted from the daily workflows of engineers and automation QC teams. You'll find sophisticated tools designed for actual development needs—like retrieving all pull requests linked to an issue, managing complex sprint transitions, or tracking development information across your entire workflow.

    This isn't just another API wrapper. It's a reflection of how professionals actually use Jira: managing sprints, tracking development work, coordinating releases, and maintaining visibility across teams. Every tool is designed to solve real problems that arise in modern software development.

    Available tools

    Issue Management

    • jira_get_issue - Retrieve detailed information about a specific issue including status, assignee, description, subtasks, and available transitions
    • jira_create_issue - Create a new issue with specified details (returns key, ID, and URL)
    • jira_create_child_issue - Create a child issue (sub-task) linked to a parent issue
    • jira_update_issue - Modify an existing issue's details (supports partial updates)
    • jira_list_issue_types - List all available issue types in a project with their IDs, names, and descriptions

    Search

    • jira_search_issue - Search for issues using JQL (Jira Query Language) with customizable fields and expand options

    Sprint Management

    • jira_list_sprints - List all active and future sprints for a specific board or project
    • jira_get_sprint - Retrieve detailed information about a specific sprint by its ID
    • jira_get_active_sprint - Get the currently active sprint for a given board or project
    • jira_search_sprint_by_name - Search for sprints by name with exact or partial matching

    Status & Transitions

    • jira_list_statuses - Retrieve all available issue status IDs and their names for a project
    • jira_transition_issue - Transition an issue through its workflow using a valid transition ID

    Comments

    • jira_add_comment - Add a comment to an issue (uses Atlassian Document Format)
    • jira_get_comments - Retrieve all comments from an issue

    Worklogs

    • jira_add_worklog - Add a worklog entry to track time spent on an issue

    History & Audit

    • jira_get_issue_history - Retrieve the complete change history of an issue

    Issue Relationships

    • jira_get_related_issues - Retrieve issues that have a relationship (blocks, is blocked by, relates to, etc.)
    • jira_link_issues - Create a link between two issues, defining their relationship

    Version Management

    • jira_get_version - Retrieve detailed information about a specific project version
    • jira_list_project_versions - List all versions in a project with their details

    Development Information

    • jira_get_development_information - Retrieve branches, pull requests, and commits linked to an issue via development tool integrations (GitHub, GitLab, Bitbucket)

    Installation

    Copy this prompt to your AI assistant:

    code
    Install the Jira MCP server (https://github.com/nguyenvanduocit/jira-mcp) for my Claude Desktop or Cursor IDE. Read the MCP documentation carefully and guide me through the installation step by step.

    If your AI assistant cannot help with this installation, it indicates either a misconfiguration or an ineffective AI tool. A capable AI assistant should be able to guide you through MCP installation.

    CLI Usage

    In addition to the MCP server, jira-mcp ships a standalone CLI binary (jira-cli) for direct terminal use — no MCP client needed.

    Installation

    bash
    just install-cli
    # or
    go install github.com/nguyenvanduocit/jira-mcp/cmd/jira-cli@latest

    Quick Start

    bash
    export ATLASSIAN_HOST=your-instance.atlassian.net
    export ATLASSIAN_EMAIL=you@example.com
    export ATLASSIAN_TOKEN=your-api-token
    # or
    jira-cli --env .env  [flags]

    Commands

    CommandDescription
    get-issueGet issue details
    search-issuesSearch issues with JQL
    create-issueCreate a new issue
    update-issueUpdate an existing issue
    add-commentAdd a comment to an issue
    list-commentsList comments on an issue
    get-transitionsGet available status transitions
    transition-issueTransition issue to new status
    list-sprintsList sprints for a board
    get-worklogsGet worklogs for an issue
    add-worklogLog work on an issue
    get-historyGet issue change history

    Examples

    bash
    # Get an issue
    jira-cli get-issue --issue-key PROJ-123
    
    # Search with JQL
    jira-cli search-issues --jql "project = PROJ AND status = 'In Progress'" --max-results 20
    
    # Create an issue
    jira-cli create-issue --project PROJ --summary "Fix login bug" --type Bug
    
    # Transition issue
    jira-cli get-transitions --issue-key PROJ-123
    jira-cli transition-issue --issue-key PROJ-123 --transition-id 31
    
    # JSON output
    jira-cli search-issues --jql "assignee = currentUser()" --output json | jq '.[].key'

    Flags

    Every command accepts:

    • --env string — Path to .env file
    • --output string — Output format: text (default) or json

    License

    MIT — see LICENSE.

    FOR AI

    THIS SECTION IS FOR AI ONLY

    When working with this codebase, read these files to understand the project structure:

    1. CLAUDE.md - Comprehensive project documentation including architecture, development commands, and coding conventions

    2. main.go - Entry point that shows how the MCP server is initialized and tools are registered

    3. services/jira_client.go - Singleton Jira client initialization and authentication

    4. tools/ - Individual tool implementations following consistent patterns

    5. docs/ - Detailed documentation (see structure below)

    Key concepts:

    • This is a Go-based MCP server that connects AI assistants to Jira
    • Each tool follows a registration + handler pattern with typed input validation
    • Tools are organized by category (issues, sprints, comments, worklogs, etc.)
    • All Jira operations use the github.com/ctreminiom/go-atlassian client library
    • Development principles documented in .specify/memory/constitution.md

    Before making changes, review:

    • CLAUDE.md for architecture patterns and development commands
    • .specify/memory/constitution.md for governance principles

    Quick start

    1) Get an API token

    Create one at https://id.atlassian.com/manage-profile/security/api-tokens.

    2) Add to Cursor

    Use Docker or a local binary (STDIO; no ports needed).

    Docker

    json
    {
      "mcpServers": {
        "jira": {
          "command": "docker",
          "args": [
            "run", "--rm", "-i",
            "-e", "ATLASSIAN_HOST=https://your-company.atlassian.net",
            "-e", "ATLASSIAN_EMAIL=your-email@company.com",
            "-e", "ATLASSIAN_TOKEN=your-api-token",
            "ghcr.io/nguyenvanduocit/jira-mcp:latest"
          ]
        }
      }
    }

    Binary

    json
    {
      "mcpServers": {
        "jira": {
          "command": "/usr/local/bin/jira-mcp",
          "env": {
            "ATLASSIAN_HOST": "https://your-company.atlassian.net",
            "ATLASSIAN_EMAIL": "your-email@company.com",
            "ATLASSIAN_TOKEN": "your-api-token"
          }
        }
      }
    }

    3) Try it in Cursor

    • “Show my issues assigned to me”
    • “What’s in the current sprint for ABC?”
    • “Create a bug in ABC: Login fails on Safari”

    Configuration

    • ATLASSIAN_HOST: https://your-company.atlassian.net
    • ATLASSIAN_EMAIL: your Atlassian email
    • ATLASSIAN_TOKEN: API token

    Optional .env (if running locally):

    bash
    ATLASSIAN_HOST=https://your-company.atlassian.net
    ATLASSIAN_EMAIL=your-email@company.com
    ATLASSIAN_TOKEN=your-api-token

    HTTP mode (optional, for debugging):

    bash
    jira-mcp -env .env -http_port 3000

    Cursor config (HTTP mode):

    json
    { "mcpServers": { "jira": { "url": "http://localhost:3000/mcp" } } }

    Installation

    Homebrew (macOS/Linux)

    bash
    brew install nguyenvanduocit/tap/jira-mcp

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