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@@ -828,6 +828,7 @@ 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
+- [bitbonsai/mcp-obsidian](https://github.com/bitbonsai/mcp-obsidian) 📇 🏠 🍎 🪟 🐧 - Universal AI bridge for Obsidian vaults using MCP. Provides safe read/write access to notes with 11 comprehensive methods for vault operations including search, batch operations, tag management, and frontmatter handling. Works with Claude, ChatGPT, and any MCP-compatible AI assistant.
 - [chatmcp/mcp-server-chatsum](https://github.com/chatmcp/mcp-server-chatsum) - Query and summarize your chat messages with AI prompts.
 - [cameronrye/openzim-mcp](https://github.com/cameronrye/openzim-mcp) 🐍 🏠 - Modern, secure MCP server for accessing ZIM format knowledge bases offline. Enables AI models to search and navigate Wikipedia, educational content, and other compressed knowledge archives with smart retrieval, caching, and comprehensive API.
 - [CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) 📇 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation