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@@ -714,6 +714,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 
 - [0xshellming/mcp-summarizer](https://github.com/0xshellming/mcp-summarizer) 📕 ☁️ - AI Summarization MCP Server, Support for multiple content types: Plain text, Web pages, PDF documents, EPUB books, HTML content
 - [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering
+- [MWGMorningwood/Central-Memory-MCP](https://github.com/MWGMorningwood/Central-Memory-MCP) 📇 ☁️ - An Azure PaaS-hostable MCP server that provides a workspace-grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.
 - [chatmcp/mcp-server-chatsum](https://github.com/chatmcp/mcp-server-chatsum) - Query and summarize your chat messages with AI prompts.
 - [CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) 📇 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation
 - [entanglr/zettelkasten-mcp](https://github.com/entanglr/zettelkasten-mcp) 🐍 🏠 - A Model Context Protocol (MCP) server that implements the Zettelkasten knowledge management methodology, allowing you to create, link, and search atomic notes through Claude and other MCP-compatible clients.