Jira MCP
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- FlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Jira Server/Data Center for fetching incidents, searching issues, adding comments, and managing transitions.-
- AlicenseAqualityCmaintenanceEnables AI assistants to interact with self-hosted Jira instances for issue management, search, comments, and workflow transitions.19MIT
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to interact with Jira Cloud and Server/Data Center deployments for issue management, project tracking, and workflow automation. Supports multiple authentication methods including API tokens, OAuth 2.0, and personal access tokens.MIT
- AlicenseBqualityBmaintenanceEnables AI assistants to access and manage Jira boards, sprints, epics, issues, JQL searches, transitions, comments, worklogs, projects, users, and any REST endpoint across Jira Cloud and Data Center.43216 npmMIT
- AlicenseAqualityCmaintenanceEnables AI agents to interact with Jira Cloud, including listing boards and issues, adding comments, and searching users.728 npm2MIT
- AlicenseNot gradedqualityCmaintenanceEnables AI clients to search, read, create, and update Jira Server/Data Center issues, comments, and attachments, and to move issues through workflow transitions using Personal Access Token authentication. It also supports file uploads and downloads from allowlisted local paths, plus paginated search and issue-detail retrieval including links and attachment metadata.MIT
TDQS
Scored across 17 tools
Each tool targets a distinct resource and action (e.g., add_comment vs update_comment vs delete_comment; log_work vs update_worklog vs delete_worklog). The only potential overlap is update_ticket vs transition_ticket, but descriptions clearly separate field updates from status changes.
All tools follow a consistent snake_case verb_noun pattern (get_ticket, create_ticket, add_comment, delete_worklog, etc.). Minor variations like move_to_sprint and generate_release_notes remain readable and do not break the overall convention.
17 tools is slightly above the typical 3-15 range, but each tool covers a necessary Jira operation with no obvious redundancy. The count is justified by the breadth of ticket management tasks.
The set covers core ticket lifecycle operations (create, read, update, search, transition, comments, worklogs, watchers, links) but lacks delete_ticket and some project/sprint management functions. Agents can work around most gaps using JQL and existing tools.