Jira MCP
Related Servers
Alternatives to Jira MCP
No user-submitted related servers found.
Related Servers
- 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 gradedqualityAmaintenanceLets AI agents work with self-hosted Jira Server/Data Center 7-10 using a plain username + password, no API tokens. 42 tools for issues, JQL search, transitions, comments, worklogs and sprints.89 npm4ISC
- 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
- AlicenseBqualityAmaintenanceEnables 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.4325 npmMIT
- AlicenseAqualityCmaintenanceEnables AI agents to interact with Jira Cloud, including listing boards and issues, adding comments, and searching users.7121 npm2MIT
TDQS
Scored across 19 tools
Each tool has a clearly distinct purpose by resource and action: tickets, comments, worklogs, links, watchers, attachments, and sprints are separated cleanly. The few potentially overlapping areas, such as get_ticket vs get_comment and update_ticket vs transition_ticket, are explicitly clarified in the descriptions.
All tool names follow a consistent snake_case verb_noun pattern, including add_comment, create_ticket, update_worklog, remove_watcher, and generate_release_notes. There are no mixed conventions or vague standalone verbs.
The 19 tools cover a broad Jira surface and each seems purposeful, but the count is slightly high relative to a typical well-scoped MCP server. The subresource operations for comments, worklogs, watchers, links, and attachments justify most of the size.
Core ticket workflows are well covered: create, get, search, update, transition, comments CRUD, links add/remove, worklogs create/update/delete, watchers add/remove, and sprint moves. Minor gaps remain, such as no ticket deletion, limited attachment operations beyond upload, and no sprint/project discovery tooling, but most can be worked around or are less common.