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Add notebooklm-mcp-secure to Knowledge & Memory section
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@@ -1029,6 +1029,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
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- [nonatofabio/local-faiss-mcp](https://github.com/nonatofabio/local_faiss_mcp) 🐍 🏠 🍎 🐧 - Local FAISS vector database for RAG with document ingestion (PDF/TXT/MD/DOCX), semantic search, re-ranking, and CLI tools for indexing and querying
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- [olgasafonova/mediawiki-mcp-server](https://github.com/olgasafonova/mediawiki-mcp-server) 🏎️ ☁️ 🏠 🍎 🪟 🐧 - Connect to any MediaWiki wiki (Wikipedia, Fandom, corporate wikis). 33+ tools for search, read, edit, link analysis, revision history, and Markdown conversion. Supports stdio and HTTP transport.
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- [pallaprolus/mendeley-mcp](https://github.com/pallaprolus/mendeley-mcp) 🐍 ☁️ - MCP server for Mendeley reference manager. Search your library, browse folders, get document metadata, search the global catalog, and add papers to your collection.
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- [Pantheon-Security/notebooklm-mcp-secure](https://github.com/Pantheon-Security/notebooklm-mcp-secure) 📇 🏠 🍎 🪟 🐧 - Security-hardened NotebookLM MCP with post-quantum encryption (ML-KEM-768), GDPR/SOC2/CSSF compliance, and 14 security layers. Query Google's Gemini-grounded research from Claude and AI agents.
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- [pi22by7/In-Memoria](https://github.com/pi22by7/In-Memoria) 📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding.
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- [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine.
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- [pomazanbohdan/memory-mcp-1file](https://github.com/pomazanbohdan/memory-mcp-1file) 🦀 🏠 🍎 🪟 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents.
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