nguyenvanduocit/jira-mcp

Overview

A Go-based connector that implements the Model Control Protocol (MCP) for Atlassian Jira. It allows AI assistants like Claude to perform Jira operations such as issue management, sprint planning, and workflow transitions through a standardized interface.

Best for

Best for
Developers integrating AI assistants with Jira for automated project management tasks

Use cases

• Creating and updating Jira issues via natural language in an AI assistant
• Querying sprint progress and assigning tasks through chat commands
• Automating workflow transitions like moving issues to in-progress or done

How to use

Tools exposed

• jira_get_issue
• jira_create_issue
• jira_create_child_issue
• jira_update_issue
• jira_list_issue_types
• jira_search_issue
• jira_list_sprints
• jira_get_sprint
• jira_get_active_sprint
• jira_search_sprint_by_name
• jira_list_statuses
• jira_transition_issue
• jira_add_comment
• jira_get_comments
• jira_add_worklog
• jira_get_issue_history
• jira_get_related_issues
• jira_link_issues
• jira_get_version
• jira_list_project_versions

Tested with

Claude Desktop, Cursor

Example client config

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

Notes

A Go-based connector that implements the Model Control Protocol (MCP) for Atlassian Jira. It allows AI assistants like Claude to perform Jira operations such as issue management, sprint planning, and workflow transitions through a standardized interface.

89 stars on GitHub. Last updated 2026-04-18. Licensed MIT.

Use cases

• Creating and updating Jira issues via natural language in an AI assistant
• Querying sprint progress and assigning tasks through chat commands
• Automating workflow transitions like moving issues to in-progress or done

Pros

• Written in Go, offering good performance and straightforward deployment
• Provides a standardized MCP interface, simplifying integration with AI assistants
• Covers essential Jira operations including issues, sprints, and transitions

Cons

• Tied to the Atlassian Jira ecosystem, not usable with other issue trackers
• Requires a compatible MCP host (e.g., Claude) to function
• Relatively small community (89 stars), which may indicate less real-world testing at scale

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.