Confluence Cloud MCP Server
Related Servers
Alternatives to Confluence Cloud MCP Server
No user-submitted related servers found.
Related Servers
- AlicenseNot gradedqualityCmaintenanceEnables reading, searching, creating, updating, and deleting Confluence pages and managing spaces via natural language, with automatic Markdown conversion.MIT
- FlicenseAqualityFmaintenanceEnables AI assistants to interact with Confluence Cloud for managing spaces, pages, and content via the Model Context Protocol (MCP).1115-
- AlicenseAqualityDmaintenanceIntegrates with Atlassian Cloud products (Confluence and Jira) to enable AI assistants to search, read, create, and manage pages, issues, comments, attachments, and export content through natural language interactions.404,770 npmMIT
- FlicenseAqualityDmaintenanceEnables AI assistants to create, update, delete, and search Confluence pages directly through natural language commands in Cursor, with support for space management and page history.172-
- AlicenseNot gradedqualityDmaintenanceEnables AI assistants to read Confluence Cloud pages as markdown, browse page trees, download image attachments, and diff content against local documentation.MIT
- AlicenseNot gradedqualityDmaintenanceEnables interaction with Atlassian Confluence and Jira through natural language, allowing users to search, create, update, and transition issues and pages.MIT
TDQS
Scored across 8 tools
Most tools are clearly distinct, but manage_confluence_page and edit_confluence_content both involve editing page content. The descriptions clarify that edit_confluence_content operates on scratchpad buffers only, so agents can differentiate, though the boundary could confuse.
All tools follow a consistent verb_noun snake_case pattern (e.g., manage_confluence_page, search_confluence). Even the slightly different navigate_confluence and queue_confluence_operations fit the verb-based style without breaking the pattern.
8 tools is well within the ideal range for a domain server. Each tool covers a meaningful area—pages, media, workspace, navigation, batching, search, content editing, and spaces—without unnecessary fragmentation.
The surface covers core Confluence workflows: page lifecycle, media, spaces, search, navigation, and batching. Minor gaps exist such as explicit permission/user management, but the included operations handle most common needs and comments are coverable through the page tool.