Check if AI-powered features like RAG-based Q&A, semantic search, and document summarization are enabled and view index statistics for the Outline wiki.
Search and retrieve Confluence content using CQL queries via the MCP Atlassian Server, enabling efficient access to Confluence data within the MCP interface.
Provides intelligent summarization capabilities through a clean, extensible architecture. Mainly built for solving AI agents issues on big repositories, where large files can eat up the context window.
A server that enables AI models to interact with Confluence Data Center through REST API, providing operations like searching, reading, creating, updating, and deleting pages.