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Why this server?
Enables AI assistants to interact with Confluence Cloud for managing spaces, pages, and content via the Model Context Protocol (MCP).
Why this server?
An MCP server that enables AI agents to interact with Atlassian products (Confluence and Jira) for content management, issue tracking, and project management through a standardized interface.
Why this server?
Enables querying and retrieving content from Confluence through CQL searches and page content fetching, allowing Claude to seamlessly access information stored in Confluence workspaces.
Why this server?
Model Context Protocol (MCP) server for Atlassian Cloud products (Confluence and Jira). This integration is designed specifically for Atlassian Cloud instances and does not support Atlassian Server or Data Center deployments.
Why this server?
A Model Context Protocol server for Claude Desktop that provides structured memory management across chat sessions, allowing Claude to maintain context and build a knowledge base within project directories.
Why this server?
A model context server that provides prompts that can be used as slash commands for clients like Zed Editor, in order to add page contents as context to the AI assistant.
Why this server?
A Model Context Protocol server that allows intelligent analysis and querying of XMind mind maps, providing capabilities for searching, extracting, and analyzing content across XMind files.