A
licenseNot graded
qualityC
maintenanceEnables AI assistants to create, search, update, and manage Jira issues and Confluence pages via natural language through the Atlassian Cloud REST APIs.
MIT
Atlassian MCP Server
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TDQS
A3.5/5.0
Scored across 86 tools
Disambiguation5/5
All tools are clearly prefixed by product (confluence_, jira_, bitbucket_) and have distinct verb-noun pairs. Even closely related tools like jira_transition_issue and jira_transition_issue_interactive are differentiated by description. There is no ambiguity between tools.
Naming Consistency5/5
All tool names follow a consistent pattern: product_verb_noun in snake_case. For example, confluence_get_page, jira_create_issue, bitbucket_get_pull_requests. No mixing of conventions.
Tool Count3/5
86 tools is high, but the server covers three major products (Confluence, Jira, Bitbucket) each requiring many operations. Some tools like confluence_embed_image (not supported) are unnecessary. The count is borderline heavy but justifiable for the scope.
Completeness4/5
The tool surface is comprehensive for common workflows: CRUD for issues, pages, repos, comments, attachments, worklogs, etc. Minor gaps exist such as missing inline image embedding in Confluence and some advanced Jira features, but overall coverage is strong.
Maintenance
ActivityStale
ResponsivenessNo issues