A
licenseA
qualityNot graded
maintenanceEnables AI assistants to interact with Atlassian Jira Cloud, allowing users to manage projects, issues, comments, and workflows through natural language commands.
6
65
3
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Atlassian MCP Server
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TDQS
A3.8/5.0
Scored across 9 tools
Disambiguation5/5
Every tool has a clearly distinct purpose targeting specific Jira operations with no overlap. For example, jira_add_label and jira_remove_label are complementary but distinct, while jira_get_issue, jira_search, and jira_update_status each handle different aspects of issue management. The descriptions reinforce these boundaries, making misselection unlikely.
Naming Consistency5/5
All tools follow a consistent 'jira_verb_noun' pattern using snake_case throughout. The verbs are specific and descriptive (e.g., add, assign, comment, get, link, remove, search, set, update), creating a predictable and readable naming convention across the entire set.
Tool Count5/5
With 9 tools, the server is well-scoped for Jira operations, covering core workflows without bloat. Each tool earns its place by addressing a specific need in issue management, from retrieval and search to updates and relationships, making the count appropriate for the domain.
Completeness4/5
The toolset provides strong coverage for common Jira workflows, including CRUD-like operations (get, search, update status, set fields), collaboration (comment, assign), and organization (labels, links). A minor gap exists in missing explicit create or delete issue tools, but agents can work around this using jira_set_field or other methods for creation, and the surface otherwise supports most agent tasks effectively.
Maintenance
ActivityInactive
ResponsivenessNo issues