A
licenseNot graded
qualityD
maintenanceA comprehensive MCP server for Atlassian Jira that enables AI assistants to manage issues, sprints, comments, and worklogs through natural language.
MIT
DevOps MCP Hub
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TDQS
C2.9/5.0
Scored across 31 tools
Disambiguation3/5
Most Jira operational tools (get_issue, search_issues, create_issue, etc.) are clearly distinct, but there is overlap in the reporting/generation tools: generate_release_notes vs save_release_notes_to_file vs save_doc_to_github are confusingly similar, as are create_issue and create_smart_issue. An agent could easily select the wrong tool when these overlapping functions are involved.
Naming Consistency5/5
Every tool name follows a consistent verb_noun pattern (e.g., get_boards, create_issue, analyze_sprint_health, save_doc_to_github). There is no mixing of camelCase or alternate verb styles, making the naming highly predictable.
Tool Count2/5
With 31 tools, the server exceeds the 25-tool threshold for 'too many', making it feel bloated. Many tools are extremely narrow (e.g., get_transitions, get_attachments) and could be consolidated, though the diversity of Jira operations explains some of the count.
Completeness4/5
The server covers the full Jira issue lifecycle (create, get, update, delete, transition, comment, assign, worklog) plus sprint tracking and AI-based reporting. Minor gaps exist for things like project creation or issue linking, but these are not core to the apparent DevOps hub purpose and can be worked around.
Maintenance
ActivityInactive
ResponsivenessNo issues