Confluence Cloud serves as a powerful Model Context Protocol (MCP) server, offering a sophisticated interface for programmatic interaction with Confluence Cloud. It excels in structured page editing, enabling users to pull pages into tracked sessions for surgical, block-level modifications without the need for full-page rewrites. The server intelligently handles native Confluence macros, converting them into readable `:::directive` syntax, and leverages GraphQL for accurate, fast discovery of page relationships like backlinks and forward links. All interactions are designed to be token-efficient, delivering responses as markdown with contextual next-step hints, making it an ideal tool for integrating Confluence content management and navigation into automated workflows or intelligent agents.
Key Features
010 GitHub stars
02Session-based editing for surgical content changes
03Native macro support with `:::directive` syntax
04GraphQL navigation for discovering page relationships
05Token-efficient markdown rendering facades
06Batch multiple operations with result references
Use Cases
01Automating Confluence page creation, updates, and deletion
02Building AI agents or chatbots that interact with Confluence content
03Programmatically navigating and extracting information from Confluence spaces
