mcp-jira-confluence-corp
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- AlicenseNot gradedqualityDmaintenanceA Model Context Protocol server for Atlassian Jira and Confluence that supports both Cloud and On-Prem/Data Center deployments. It enables AI assistants to search, create, and manage issues and pages using secure authentication methods like PAT and OAuth.5MIT
- -licenseNot gradedqualityNot gradedmaintenanceA Model Context Protocol server that enables interaction with Atlassian products (Confluence and Jira), supporting both Cloud and Server/Data Center deployments for searching, creating, and managing content through natural language.-
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- AlicenseBqualityBmaintenanceAn open-source Model Context Protocol (MCP) server for Atlassian Jira and Confluence Cloud, enabling LLMs to search, read, write, and manage issues and pages.222MIT
TDQS
Scored across 35 tools
Tools are clearly separated by service prefix (jira_ vs confluence_), and within each service, every tool has a distinct purpose with no overlaps. For example, jira_get_issue retrieves an issue while jira_summarize_issue provides a comprehensive view, but the descriptions clarify their different scopes.
All tool names follow a consistent snake_case pattern with a service prefix and verb_noun structure (e.g., jira_create_issue, confluence_get_page). There are no deviations or mixed conventions.
With 35 tools covering both Jira and Confluence, the count is on the higher side but justified by the breadth of functionality. Each tool serves a clear purpose and there is no obvious bloat, though a few tools could potentially be combined (e.g., jira_get_issue and jira_get_issue_changelog are separate but jira_summarize_issue consolidates similar data).
The tool surface covers core CRUD operations, search, comments, workflows, and administrative tasks for both Jira and Confluence. Notable minor gaps include missing delete operations (e.g., jira_delete_issue, confluence_delete_page), but these are not essential for common workflows. Overall, the set is comprehensive for most use cases.